# HG changeset patch # User engineson # Date 1495748953 14400 # Node ID 4612d775965fae2ccb9cc991a8a81527a6d46928 # Parent 66f1187ed363bda0d18ac8145ea7df1d15022b15 Uploaded diff -r 66f1187ed363 -r 4612d775965f multiqc.xml --- a/multiqc.xml Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,241 +0,0 @@ - - aggregate results from bioinformatics analyses across many samples into a single report - - multiqc - libpng - - - - - - mkdir multiqc_WDir; - - #for $i, $repeat in enumerate( $results ) - - mkdir multiqc_WDir/${repeat.software}_${i}; - - #if str($repeat.software) == "fastqc" - - #for $k, $file in enumerate ( $repeat.input_file ) - ## create a directory for each file because of the unqiue name file parsing - mkdir multiqc_WDir/${repeat.software}_${i}/file_${k}; - ##cat ${file} > multiqc_WDir/${repeat.software}_${i}/file_$k/fastqc_data.txt; - ln -s ${file} multiqc_WDir/${repeat.software}_${i}/file_$k/fastqc_data.txt; - #end for - - #else if str($repeat.software) == "tophat" - - #for $file in $repeat.input_file - ## test if input file name contains align_summary - if [[ '${file.display_name}' =~ align_summary$ ]]; then - ##cat ${file} > multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'.txt; else - ln -s ${file} multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'.txt; else - ##cat ${file} > multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'_align_summary.txt; - ln -s ${file} multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'_align_summary.txt; - fi; - #end for - - #else if str($repeat.software) == "cutadapt" - - #for $file in $repeat.input_file - cat ${file} > multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'.txt; - ## replace header for old cutadapt release - sed -i 's/You are running/This is/' multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'.txt; - #end for - - #else if str($repeat.software) == "featurecounts" - - #for $file in $repeat.input_file - ## remove spaces and colon to skip multiqc crash - cat ${file} > multiqc_WDir/${repeat.software}_${i}/featurecounts_result.summary; - ## remove spaces and colon to skip multiqc crash - sed -i 's/:/_/g' multiqc_WDir/${repeat.software}_${i}/featurecounts_result.summary; - sed -i 's/ /_/g' multiqc_WDir/${repeat.software}_${i}/featurecounts_result.summary; - #end for - - #else if str($repeat.software) == "bismark" - - #for $file in $repeat.input_file - ##cat ${file} > multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'_SE_report.txt; - ln -s ${file} multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'_SE_report.txt; - #end for - - #else - - #for $file in $repeat.input_file - cat ${file} > multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'; - #if str($repeat.software) == "picard" - sed -i 's/picard.sam.markduplicates.MarkDuplicates/picard.sam.MarkDuplicates/' multiqc_WDir/${repeat.software}_${i}/'${file.display_name}'; - #end if - #end for - - #end if - #end for - - multiqc multiqc_WDir; - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -**What it does** - -MultiQC aggregates results from bioinformatics analyses across many samples into a single report - ----- - -**Description** - -MultiQC searches a given directory for analysis logs and compiles a HTML report. It's a general use tool, perfect for summarising the output from numerous bioinformatics tools. - ----- - -**Inputs** - -MultiQC takes software outputs summary in order to create a single report. Below a list of compatible Galaxy tools : - - - Fastqc - - Cutadapt - - Tophat2 - - FeatureCounts - - Samtools stats - - Picard MarkDuplicates metrics - - Picard CollectGTBiasMetrics - - Picard CollectInsertSizeMetrics - - Bismark - ----- - -**Integrated by:** - -Cyril Monjeaud and Yvan Le Bras - -`EnginesOn <http://engineson.fr/>`_ and Rennes GenOuest Bio-informatics Core Facility - - - - - 10.1093/bioinformatics/btw354 - - - diff -r 66f1187ed363 -r 4612d775965f multiqc/.shed.yml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/.shed.yml Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,12 @@ +categories: +- Fastq Manipulation +- Statistics +description: multiqc tool +name: multiqc +owner: engineson +long_description: | + MultiQC searches a given directory for analysis logs and compiles a HTML report. + It's a general use tool, perfect for summarising the output from numerous bioinformatics tools. +homepage_url: http://multiqc.info/ +remote_repository_url: https://github.com/EnginesOn/galaxy_tools/tree/master/tools/multiqc +type: unrestricted diff -r 66f1187ed363 -r 4612d775965f multiqc/multiqc.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/multiqc.xml Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,271 @@ + + aggregate results from bioinformatics analyses into a single report + + multiqc + + + + + + mkdir multiqc_WDir; + + #for $i, $repeat in enumerate( $results ) + mkdir multiqc_WDir/${repeat.software}_${i}; + + #if str($repeat.software) == "fastqc": + ## Searches for files named "fastqc_data.txt" + #for $k, $file in enumerate($repeat.input_file): + mkdir multiqc_WDir/${repeat.software}_${i}/file_${k}; + ln -s '${file}' multiqc_WDir/fastqc_${i}/file_${k}/fastqc_data.txt; + #end for + #else if str($repeat.software) == "tophat": + ## Searches for files ending in "align_summary.txt" + #for $file in $repeat.input_file: + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}align_summary.txt'; + #end for + #else if str($repeat.software) == "bowtie2": + ## Searches for files containing 'reads; of these;' + #for $file in $repeat.input_file: + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}.txt'; + #end for + #else if str($repeat.software) == "cutadapt": + ## Searches for files containing 'This is cutadapt' + #for $file in $repeat.input_file: + cat '${file}' > 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}.txt'; + ## replace header for old cutadapt release + sed -i .old 's/You are running/This is/' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}.txt'; + #end for + #else if str($repeat.software) == "featurecounts": + ## Checks for files ending in '.summary' + #for $k, $file in enumerate($repeat.input_file): + mkdir multiqc_WDir/${repeat.software}_${i}/file_${k}; + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/file_${k}/${file.display_name}.summary'; + #end for + #else if str($repeat.software) == "bismark": + ## Checks for files ending in _SE_report.txt + #for $file in $repeat.input_file + ln -s ${file} 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}_SE_report.txt'; + #end for + #else if str($repeat.software) == "samtools": + ## Checks for files containing 'This file was produced by samtools stats' + #for $file in $repeat.input_file + ln -s ${file} 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}'; + #end for + #else if str($repeat.software) == "picard": + #for $file in $repeat.input_file + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}'; + #end for + #else if str($repeat.software) == "samtools_idxstats": + ## Checks for files containing "idxstats" in the name + #for $file in $repeat.input_file + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}_idxstats.txt'; + #end for + #else if str($repeat.software) == "htseq": + ## Checks for files containing "__too_low_aQual" + #for $file in $repeat.input_file + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}'; + #end for + #else if str($repeat.software) == "rnastar_log": + ## Checks for files named Log.final.out + #for $k, $file in enumerate($repeat.input_file): + mkdir 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}'; + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}/Log.final.out'; + #end for + #else if str($repeat.software) == "rnastar_counts": + ## Checks for files named ReadsPerGene.out.tab + #for $k, $file in enumerate($repeat.input_file): + mkdir 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}'; + ln -s '${file}' 'multiqc_WDir/${repeat.software}_${i}/${file.display_name}/ReadsPerGene.out.tab'; + #end for + #end if + #end for + + multiqc multiqc_WDir; + + + + + + + + + + + + + + + + + + + + + + + + + + saveLog is True + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +**What it does** + +MultiQC aggregates results from bioinformatics analyses across many samples into a single report. It takes results of multiple analyses and creates a report that can be viewed as a single beautiful web-page. It's a general use tool, perfect for summarizing the output from numerous bioinformatics tools. + +**Inputs** + +MultiQC takes software output summaries/logs and creates a single report from them. You need to tell the tool which software was used to generate the report. This is done using the **Software name** dropdown. At present the following Galaxy tools produce logs that can used with MultiQC. There are: + +- Fastqc +- Cutadapt / Trim Galore! +- Tophat2 +- FeatureCounts +- Samtools (stats, flagstat, dxstats) +- Picard (MarkDuplicatesMetrics, CollectGCBiasMetrics, CollectInsertSizeMetrics, CollectAlignmentSummaryMetrics, CollectRnaSeqMetrics) +- Bismark (Alignment report file) +- Bowtie2 (Metrics file) +- HTSeq-count ("no feature" file; although the "Assigned" metric is always 0) +- RNA STAR (Alignment from Log.final.out, Gene counts from ReadsPerGene.out.tab) + +---- + +**Integrated by** + +Cyril Monjeaud and Yvan Le Bras + +`EnginesOn <http://engineson.fr/>`_ and Rennes GenOuest Bio-informatics Core Facility + + + + 10.1093/bioinformatics/btw354 + + diff -r 66f1187ed363 -r 4612d775965f multiqc/readme.rst --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/readme.rst Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,36 @@ +======================== +Galaxy multiqc wrapper +======================== + +Aggregate results from bioinformatics analyses across many samples into a single report + +MultiQC searches a given directory for analysis logs and compiles a HTML report. It's a general use tool, perfect for summarising the output from numerous bioinformatics tools. + +============ +Installation +============ + +Requirements: pkg-config + +Conda recipe: A conda recipe exists in bioconda repository. If you have a recent Galaxy release, the packages installation is not mandatory. + +================ +MultiQC webpage +================ + +Important: For a good view of multiqc webpage, you need to deactivate the sanitize_all_html option in galaxy.ini + + sanitize_all_html = False + +======= +History +======= + + * v1.0.0.0 Update to multiQC 1.0, add additional supported tools + * v0.6: Initial public release + +========== +Citation +========== + +Created by EnginesOn company diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/CollectInsertSizeMetrics.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/CollectInsertSizeMetrics.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,737 @@ +## htsjdk.samtools.metrics.StringHeader +# picard.analysis.CollectInsertSizeMetrics HISTOGRAM_FILE=/omaha-beach/cloud_26/files/000/dataset_199.dat DEVIATIONS=10.0 MINIMUM_PCT=0.05 METRIC_ACCUMULATION_LEVEL=[ALL_READS] INPUT=/omaha-beach/cloud_26/files/000/dataset_197.dat OUTPUT=/omaha-beach/cloud_26/files/000/dataset_198.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=localref.fa STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Mon May 23 09:33:00 UTC 2016 + +## METRICS CLASS picard.analysis.InsertSizeMetrics +MEDIAN_INSERT_SIZE MEDIAN_ABSOLUTE_DEVIATION MIN_INSERT_SIZE MAX_INSERT_SIZE MEAN_INSERT_SIZE STANDARD_DEVIATION READ_PAIRS PAIR_ORIENTATION WIDTH_OF_10_PERCENT WIDTH_OF_20_PERCENT WIDTH_OF_30_PERCENT WIDTH_OF_40_PERCENT WIDTH_OF_50_PERCENT WIDTH_OF_60_PERCENT WIDTH_OF_70_PERCENT WIDTH_OF_80_PERCENT WIDTH_OF_90_PERCENT WIDTH_OF_99_PERCENT SAMPLE LIBRARY READ_GROUP +194 63 100 5331452 271.809759 196.076488 311788 FR 25 47 69 91 127 343 941 1515 2585 16663 + +## HISTOGRAM java.lang.Integer +insert_size All_Reads.fr_count +100 2 +101 117 +102 424 +103 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READ_NAME_REGEX=[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*. OPTICAL_DUPLICATE_PIXEL_DISTANCE=100 VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT MAX_SEQUENCES_FOR_DISK_READ_ENDS_MAP=50000 MAX_FILE_HANDLES_FOR_READ_ENDS_MAP=8000 SORTING_COLLECTION_SIZE_RATIO=0.25 PROGRAM_RECORD_ID=MarkDuplicates PROGRAM_GROUP_NAME=MarkDuplicates COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Mon May 23 09:32:41 UTC 2016 + +## METRICS CLASS picard.sam.DuplicationMetrics +LIBRARY UNPAIRED_READS_EXAMINED READ_PAIRS_EXAMINED UNMAPPED_READS UNPAIRED_READ_DUPLICATES READ_PAIR_DUPLICATES READ_PAIR_OPTICAL_DUPLICATES PERCENT_DUPLICATION ESTIMATED_LIBRARY_SIZE +Unknown Library 2900 313405 0 2257 629 0 0.005582 77973949 + +## HISTOGRAM java.lang.Double +BIN VALUE +1.0 1 +2.0 1.995989 +3.0 2.987982 +4.0 3.975997 +5.0 4.960048 +6.0 5.940152 +7.0 6.916324 +8.0 7.88858 +9.0 8.856937 +10.0 9.821409 +11.0 10.782013 +12.0 11.738763 +13.0 12.691676 +14.0 13.640766 +15.0 14.586049 +16.0 15.52754 +17.0 16.465254 +18.0 17.399207 +19.0 18.329414 +20.0 19.25589 +21.0 20.178649 +22.0 21.097706 +23.0 22.013077 +24.0 22.924776 +25.0 23.832819 +26.0 24.737218 +27.0 25.63799 +28.0 26.535149 +29.0 27.428709 +30.0 28.318684 +31.0 29.20509 +32.0 30.08794 +33.0 30.967248 +34.0 31.84303 +35.0 32.715298 +36.0 33.584068 +37.0 34.449352 +38.0 35.311166 +39.0 36.169523 +40.0 37.024436 +41.0 37.875921 +42.0 38.723989 +43.0 39.568656 +44.0 40.409935 +45.0 41.247839 +46.0 42.082382 +47.0 42.913578 +48.0 43.741439 +49.0 44.565979 +50.0 45.387212 +51.0 46.205151 +52.0 47.019809 +53.0 47.831199 +54.0 48.639334 +55.0 49.444228 +56.0 50.245893 +57.0 51.044342 +58.0 51.839588 +59.0 52.631645 +60.0 53.420524 +61.0 54.206239 +62.0 54.988802 +63.0 55.768226 +64.0 56.544524 +65.0 57.317707 +66.0 58.087789 +67.0 58.854783 +68.0 59.618699 +69.0 60.379551 +70.0 61.137352 +71.0 61.892112 +72.0 62.643845 +73.0 63.392562 +74.0 64.138276 +75.0 64.880999 +76.0 65.620743 +77.0 66.357519 +78.0 67.09134 +79.0 67.822217 +80.0 68.550163 +81.0 69.275188 +82.0 69.997306 +83.0 70.716526 +84.0 71.432862 +85.0 72.146324 +86.0 72.856924 +87.0 73.564674 +88.0 74.269585 +89.0 74.971668 +90.0 75.670935 +91.0 76.367397 +92.0 77.061066 +93.0 77.751952 +94.0 78.440066 +95.0 79.12542 +96.0 79.808025 +97.0 80.487892 +98.0 81.165032 +99.0 81.839456 +100.0 82.511174 + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/bismark_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/bismark_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,39 @@ +Bismark report for: /omaha-beach/cloud_26/files/000/dataset_33.dat (version: v0.10.0) +Option '--directional' specified: alignments to complementary strands will be ignored (i.e. not performed!) +Bowtie was run against the bisulfite genome of /root/galaxy/database/tmp/tmpvNBPSF/ with the specified options: -q -L 20 -D 15 -R 2 --score-min L,0,-0.2 --ignore-quals --quiet + +Final Alignment report +====================== +Sequences analysed in total: 316390 +Number of alignments with a unique best hit from the different alignments: 220558 +Mapping efficiency: 69.7% +Sequences with no alignments under any condition: 93928 +Sequences did not map uniquely: 1904 +Sequences which were discarded because genomic sequence could not be extracted: 0 + +Number of sequences with unique best (first) alignment came from the bowtie output: +CT/CT: 108352 ((converted) top strand) +CT/GA: 112206 ((converted) bottom strand) +GA/CT: 0 (complementary to (converted) top strand) +GA/GA: 0 (complementary to (converted) bottom strand) + +Number of alignments to (merely theoretical) complementary strands being rejected in total: 0 + +Final Cytosine Methylation Report +================================= +Total number of C's analysed: 5291918 + +Total methylated C's in CpG context: 465068 +Total methylated C's in CHG context: 1358074 +Total methylated C's in CHH context: 3449120 +Total methylated C's in Unknown context: 1499 + +Total unmethylated C's in CpG context: 6399 +Total unmethylated C's in CHG context: 2988 +Total unmethylated C's in CHH context: 10269 +Total unmethylated C's in Unknown context: 454 + +C methylated in CpG context: 98.6% +C methylated in CHG context: 99.8% +C methylated in CHH context: 99.7% +C methylated in Unknown context (CN or CHN): 76.8% diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/bowtie2SE1.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/bowtie2SE1.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,6 @@ +21040602 reads; of these: + 21040602 (100.00%) were unpaired; of these: + 351563 (1.67%) aligned 0 times + 13299463 (63.21%) aligned exactly 1 time + 7389576 (35.12%) aligned >1 times +98.33% overall alignment rate diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/bowtie2SE2.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/bowtie2SE2.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,6 @@ +16199126 reads; of these: + 16199126 (100.00%) were unpaired; of these: + 274008 (1.69%) aligned 0 times + 10087714 (62.27%) aligned exactly 1 time + 5837404 (36.04%) aligned >1 times +98.31% overall alignment rate diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/collectGcBias_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/collectGcBias_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,110 @@ +## htsjdk.samtools.metrics.StringHeader +# picard.analysis.CollectGcBiasMetrics CHART_OUTPUT=/omaha-beach/cloud_26/files/000/dataset_195.dat SUMMARY_OUTPUT=/omaha-beach/cloud_26/files/000/dataset_193.dat WINDOW_SIZE=100 MINIMUM_GENOME_FRACTION=5.0E-5 IS_BISULFITE_SEQUENCED=true INPUT=/omaha-beach/cloud_26/files/000/dataset_114.dat OUTPUT=/omaha-beach/cloud_26/files/000/dataset_194.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=localref.fa METRIC_ACCUMULATION_LEVEL=[ALL_READS] STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Mon May 23 09:32:30 UTC 2016 + +## METRICS CLASS picard.analysis.GcBiasDetailMetrics +ACCUMULATION_LEVEL GC WINDOWS READ_STARTS MEAN_BASE_QUALITY NORMALIZED_COVERAGE ERROR_BAR_WIDTH SAMPLE LIBRARY READ_GROUP +All Reads 0 0 0 0 0 0 +All Reads 1 0 0 0 0 0 +All Reads 2 0 0 0 0 0 +All Reads 3 10 0 0 0 0 +All Reads 4 7 0 0 0 0 +All Reads 5 6 0 0 0 0 +All Reads 6 4 0 0 0 0 +All Reads 7 9 0 0 0 0 +All Reads 8 22 0 0 0 0 +All Reads 9 15 0 0 0 0 +All Reads 10 20 0 0 0 0 +All Reads 11 18 0 0 0 0 +All Reads 12 101 0 0 0 0 +All Reads 13 118 0 0 0 0 +All Reads 14 137 1 20 0.110575 0.110575 +All Reads 15 243 4 19 0.249362 0.124681 +All Reads 16 366 10 21 0.4139 0.130887 +All Reads 17 468 9 24 0.291322 0.097107 +All Reads 18 689 25 24 0.549664 0.109933 +All Reads 19 1087 40 26 0.557451 0.088141 +All Reads 20 2152 95 25 0.668741 0.068611 +All Reads 21 3279 127 23 0.586731 0.052064 +All Reads 22 5106 178 23 0.528099 0.039583 +All Reads 23 7817 319 23 0.618197 0.034612 +All Reads 24 11933 630 24 0.799774 0.031864 +All Reads 25 17449 759 25 0.658943 0.023918 +All Reads 26 25272 1414 26 0.847591 0.02254 +All Reads 27 34926 1806 25 0.783331 0.018433 +All Reads 28 48489 2889 26 0.90257 0.016792 +All Reads 29 64950 4285 26 0.99942 0.015268 +All Reads 30 84452 5453 26 0.978142 0.013246 +All Reads 31 107535 6476 26 0.912291 0.011337 +All Reads 32 134982 7953 26 0.892548 0.010008 +All Reads 33 165941 9475 26 0.864972 0.008886 +All Reads 34 199087 11437 26 0.870253 0.008137 +All Reads 35 233144 12856 26 0.83533 0.007367 +All Reads 36 266049 14918 26 0.849426 0.006955 +All Reads 37 298999 17019 26 0.862265 0.00661 +All Reads 38 327958 20230 26 0.934446 0.00657 +All Reads 39 350801 22684 26 0.97957 0.006504 +All Reads 40 369841 23670 26 0.969527 0.006302 +All Reads 41 383262 25527 26 1.008975 0.006315 +All Reads 42 392470 26131 25 1.008617 0.006239 +All Reads 43 395234 25603 25 0.981326 0.006133 +All Reads 44 392428 26425 25 1.020074 0.006275 +All Reads 45 386569 25213 25 0.988039 0.006222 +All Reads 46 376763 25980 25 1.044594 0.006481 +All Reads 47 363422 24801 25 1.033795 0.006564 +All Reads 48 348339 24838 25 1.080167 0.006854 +All Reads 49 331960 24992 24 1.140491 0.007214 +All Reads 50 315781 23793 24 1.141405 0.0074 +All Reads 51 297249 22601 24 1.151818 0.007662 +All Reads 52 278159 19653 24 1.070317 0.007635 +All Reads 53 263713 19395 24 1.114127 0.008 +All Reads 54 247317 19047 24 1.166673 0.008453 +All Reads 55 230663 17922 23 1.177023 0.008792 +All Reads 56 215458 16244 23 1.142107 0.008961 +All Reads 57 198515 14904 23 1.137329 0.009316 +All Reads 58 180718 13720 23 1.150083 0.009819 +All Reads 59 165914 11940 23 1.090179 0.009977 +All Reads 60 152561 10775 23 1.069917 0.010307 +All Reads 61 138857 9746 23 1.063249 0.01077 +All Reads 62 125804 9067 22 1.091807 0.011466 +All Reads 63 112222 7148 22 0.964902 0.011413 +All Reads 64 99218 6056 23 0.924638 0.011882 +All Reads 65 85414 5612 24 0.995326 0.013286 +All Reads 66 72999 4286 23 0.88943 0.013586 +All Reads 67 61396 3631 23 0.895907 0.014868 +All Reads 68 52109 3341 22 0.971271 0.016804 +All Reads 69 45121 2735 21 0.918238 0.017558 +All Reads 70 38925 1675 21 0.651873 0.015928 +All Reads 71 32225 1053 22 0.495008 0.015254 +All Reads 72 27537 721 22 0.396639 0.014772 +All Reads 73 23481 483 22 0.311607 0.014179 +All Reads 74 20300 423 22 0.315661 0.015348 +All Reads 75 17785 245 22 0.208684 0.013332 +All Reads 76 15846 236 22 0.225615 0.014686 +All Reads 77 13683 230 22 0.254638 0.01679 +All Reads 78 11733 217 23 0.280174 0.019019 +All Reads 79 10547 188 22 0.270026 0.019694 +All Reads 80 9314 151 22 0.245594 0.019986 +All Reads 81 7659 149 23 0.294707 0.024143 +All Reads 82 5813 56 25 0.145937 0.019502 +All Reads 83 4687 46 23 0.148676 0.021921 +All Reads 84 3505 18 23 0.077797 0.018337 +All Reads 85 2385 8 23 0.050813 0.017965 +All Reads 86 1424 5 21 0.053191 0.023788 +All Reads 87 859 3 20 0.052906 0.030545 +All Reads 88 529 0 0 0 0 +All Reads 89 411 0 0 0 0 +All Reads 90 348 0 0 0 0 +All Reads 91 138 0 0 0 0 +All Reads 92 40 0 0 0 0 +All Reads 93 7 0 0 0 0 +All Reads 94 7 0 0 0 0 +All Reads 95 12 0 0 0 0 +All Reads 96 17 0 0 0 0 +All Reads 97 8 0 0 0 0 +All Reads 98 9 0 0 0 0 +All Reads 99 5 0 0 0 0 +All Reads 100 30 0 0 0 0 + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/cutadapt.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/cutadapt.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,129 @@ +You are running cutadapt 1.6 with Python 2.7.3 +Command line parameters: --format=fastq --anywhere=fakadaptater=CACG --error-rate=0.1 --times=1 --overlap=3 --output=/omaha-beach/cloud_26/files/000/dataset_82.dat /omaha-beach/cloud_26/files/000/dataset_33.dat +Maximum error rate: 10.00% + No. of adapters: 1 + Processed reads: 316390 + Processed bases: 31955390 bp (32.0 Mbp) + Trimmed reads: 68795 (21.7%) + Trimmed bases: 3443775 bp (3.4 Mbp) (10.78% of total) + Too short reads: 0 (0.0% of processed reads) + Too long reads: 0 (0.0% of processed reads) + Total time: 5.28 s + Time per read: 0.017 ms + +=== Adapter 'fakadaptater' === + +Sequence: CACG; Length: 4; Trimmed: 68795 times. +2162 times, it overlapped the 5' end of a read +66633 times, it overlapped the 3' end or was within the read + +No. of allowed errors: +0-4 bp: 0 + +Overview of removed sequences (5') +length count expect max.err error counts +3 357 4943.6 0 357 +4 1805 1235.9 0 1805 + + +Overview of removed sequences (3' or within) +length count expect max.err error counts +3 4175 4943.6 0 4175 +4 520 1235.9 0 520 +5 442 1235.9 0 442 +6 522 1235.9 0 522 +7 538 1235.9 0 538 +8 526 1235.9 0 526 +9 482 1235.9 0 482 +10 547 1235.9 0 547 +11 502 1235.9 0 502 +12 539 1235.9 0 539 +13 571 1235.9 0 571 +14 601 1235.9 0 601 +15 537 1235.9 0 537 +16 592 1235.9 0 592 +17 604 1235.9 0 604 +18 617 1235.9 0 617 +19 594 1235.9 0 594 +20 493 1235.9 0 493 +21 558 1235.9 0 558 +22 503 1235.9 0 503 +23 573 1235.9 0 573 +24 609 1235.9 0 609 +25 653 1235.9 0 653 +26 625 1235.9 0 625 +27 541 1235.9 0 541 +28 501 1235.9 0 501 +29 618 1235.9 0 618 +30 539 1235.9 0 539 +31 614 1235.9 0 614 +32 594 1235.9 0 594 +33 627 1235.9 0 627 +34 572 1235.9 0 572 +35 690 1235.9 0 690 +36 615 1235.9 0 615 +37 654 1235.9 0 654 +38 681 1235.9 0 681 +39 530 1235.9 0 530 +40 731 1235.9 0 731 +41 622 1235.9 0 622 +42 611 1235.9 0 611 +43 722 1235.9 0 722 +44 664 1235.9 0 664 +45 659 1235.9 0 659 +46 651 1235.9 0 651 +47 591 1235.9 0 591 +48 642 1235.9 0 642 +49 545 1235.9 0 545 +50 573 1235.9 0 573 +51 591 1235.9 0 591 +52 567 1235.9 0 567 +53 749 1235.9 0 749 +54 647 1235.9 0 647 +55 753 1235.9 0 753 +56 696 1235.9 0 696 +57 780 1235.9 0 780 +58 607 1235.9 0 607 +59 758 1235.9 0 758 +60 643 1235.9 0 643 +61 578 1235.9 0 578 +62 670 1235.9 0 670 +63 652 1235.9 0 652 +64 816 1235.9 0 816 +65 732 1235.9 0 732 +66 640 1235.9 0 640 +67 644 1235.9 0 644 +68 818 1235.9 0 818 +69 658 1235.9 0 658 +70 587 1235.9 0 587 +71 672 1235.9 0 672 +72 588 1235.9 0 588 +73 645 1235.9 0 645 +74 668 1235.9 0 668 +75 725 1235.9 0 725 +76 651 1235.9 0 651 +77 701 1235.9 0 701 +78 662 1235.9 0 662 +79 655 1235.9 0 655 +80 760 1235.9 0 760 +81 746 1235.9 0 746 +82 705 1235.9 0 705 +83 704 1235.9 0 704 +84 726 1235.9 0 726 +85 692 1235.9 0 692 +86 700 1235.9 0 700 +87 758 1235.9 0 758 +88 640 1235.9 0 640 +89 665 1235.9 0 665 +90 848 1235.9 0 848 +91 693 1235.9 0 693 +92 775 1235.9 0 775 +93 1237 1235.9 0 1237 +94 629 1235.9 0 629 +95 574 1235.9 0 574 +96 525 1235.9 0 525 +97 586 1235.9 0 586 +98 696 1235.9 0 696 +99 860 1235.9 0 860 +100 851 1235.9 0 851 + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/fastqc_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/fastqc_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,2181 @@ +##FastQC 0.11.4 +>>Basic Statistics pass +#Measure Value +Filename poulet5_1 +File type Conventional base calls +Encoding Sanger / Illumina 1.9 +Total Sequences 267849 +Sequences flagged as poor quality 0 +Sequence length 101 +%GC 48 +>>END_MODULE +>>Per base sequence quality warn +#Base Mean Median Lower Quartile Upper Quartile 10th Percentile 90th Percentile +1 20.91988023102569 21.0 21.0 21.0 21.0 21.0 +2 20.71684045861661 21.0 20.0 22.0 19.0 23.0 +3 20.351574954545285 21.0 20.0 21.0 18.0 22.0 +4 22.531542025544244 23.0 22.0 24.0 20.0 24.0 +5 24.673566076408722 25.0 24.0 26.0 24.0 26.0 +6 25.813099918237516 26.0 25.0 27.0 25.0 27.0 +7 27.587864804423386 28.0 27.0 29.0 26.0 29.0 +8 27.598941941168345 28.0 27.0 29.0 26.0 29.0 +9 27.07115949658203 28.0 26.0 28.0 26.0 28.0 +10-11 27.129873548155864 28.0 26.0 28.0 25.5 28.0 +12-13 27.009298149330405 27.5 26.0 28.0 25.5 28.0 +14-15 27.123565889736383 28.0 26.5 28.0 26.0 28.0 +16-17 27.086309823818645 28.0 26.0 28.0 26.0 28.0 +18-19 27.07924614241606 28.0 26.0 28.0 25.5 28.0 +20-21 27.082520375286073 28.0 26.0 28.0 26.0 28.0 +22-23 27.054301117420636 28.0 26.0 28.0 25.0 28.0 +24-25 27.06350966402712 28.0 26.0 28.0 25.0 28.0 +26-27 27.082996389756914 28.0 26.0 28.0 26.0 28.0 +28-29 27.065495857740743 28.0 26.0 28.0 25.5 28.0 +30-31 27.09608772106672 28.0 26.0 28.0 26.0 28.0 +32-33 27.087097581099798 28.0 26.0 28.0 26.0 28.0 +34-35 27.098251253504774 28.0 26.5 28.0 26.0 28.0 +36-37 27.05184077595959 28.0 26.0 28.0 25.5 28.0 +38-39 27.06521958267531 28.0 26.0 28.0 26.0 28.0 +40-41 27.072148859992012 28.0 26.0 28.0 26.0 28.0 +42-43 27.065725464720796 28.0 26.0 28.0 25.5 28.0 +44-45 27.07168031241483 28.0 26.5 28.0 25.5 28.0 +46-47 27.048083061725073 28.0 26.0 28.0 25.5 28.0 +48-49 27.04642354460909 28.0 26.0 28.0 25.5 28.0 +50-51 27.062865644448927 28.0 26.0 28.0 25.5 28.0 +52-53 27.01859629866081 28.0 26.0 28.0 25.0 28.0 +54-55 26.994157155710866 27.5 26.0 28.0 25.0 28.0 +56-57 27.110127347871376 28.0 27.0 28.0 26.0 28.0 +58-59 26.995846540401494 27.5 26.0 28.0 25.0 28.0 +60-61 27.00461640700544 27.5 26.0 28.0 25.0 28.0 +62-63 26.981614641085088 27.5 26.5 28.0 25.5 28.5 +64-65 26.98900313236189 28.0 26.0 28.0 25.0 28.0 +66-67 27.001189102815392 28.0 26.0 28.0 25.0 28.0 +68-69 26.917739099268616 27.5 26.0 28.0 25.0 28.5 +70-71 26.98481793846533 28.0 27.0 28.0 25.0 29.0 +72-73 26.89518908041471 27.5 26.5 28.0 25.0 28.5 +74-75 26.93677034448514 28.0 27.0 28.0 25.0 29.0 +76-77 26.87640237596556 28.0 26.5 28.0 25.0 29.0 +78-79 26.906094478605482 28.0 27.0 28.0 25.0 29.0 +80-81 26.80463992772047 28.0 26.5 28.0 25.0 29.0 +82-83 26.717012197170796 28.0 26.5 28.0 25.0 29.0 +84-85 26.46960974280285 27.5 26.5 28.0 25.0 29.0 +86-87 26.442842795754324 27.5 26.5 28.0 25.0 29.0 +88-89 26.34282375517549 28.0 26.0 28.0 25.0 29.0 +90-91 26.03493946215965 28.0 26.0 28.0 24.5 29.0 +92-93 25.833215729758187 28.0 26.0 28.0 24.0 29.0 +94-95 25.503102494315826 27.5 26.0 28.0 22.5 29.0 +96-97 24.52807178671565 27.0 25.5 27.5 21.0 28.0 +98-99 23.202399486277717 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23.848324989079668 +>>END_MODULE +>>Per sequence GC content pass +#GC Content Count +0 0.0 +1 0.0 +2 0.0 +3 0.0 +4 0.0 +5 0.0 +6 0.0 +7 0.0 +8 0.0 +9 0.0 +10 0.0 +11 0.0 +12 0.0 +13 0.0 +14 0.5 +15 2.0 +16 5.0 +17 7.5 +18 10.5 +19 15.5 +20 20.0 +21 28.5 +22 42.5 +23 63.0 +24 126.5 +25 228.0 +26 385.0 +27 545.0 +28 720.0 +29 1080.5 +30 1474.5 +31 1743.5 +32 2015.0 +33 2324.0 +34 2747.0 +35 3375.5 +36 3996.5 +37 4590.5 +38 5365.0 +39 6219.5 +40 7284.0 +41 8648.0 +42 9680.5 +43 10325.5 +44 10906.0 +45 11123.5 +46 11325.5 +47 12122.5 +48 12960.5 +49 13030.0 +50 12518.5 +51 11744.0 +52 10781.0 +53 10248.5 +54 10433.5 +55 9922.0 +56 8785.5 +57 7997.0 +58 6901.0 +59 5796.0 +60 4967.0 +61 4072.5 +62 3639.5 +63 3267.0 +64 2561.5 +65 2002.5 +66 1561.5 +67 1355.5 +68 1222.0 +69 1019.0 +70 803.0 +71 568.5 +72 371.5 +73 235.0 +74 164.5 +75 110.5 +76 70.5 +77 56.0 +78 39.5 +79 27.0 +80 18.0 +81 17.0 +82 15.5 +83 12.5 +84 6.5 +85 1.5 +86 0.0 +87 0.0 +88 0.0 +89 0.0 +90 0.0 +91 0.0 +92 0.0 +93 0.0 +94 0.0 +95 0.0 +96 0.0 +97 0.0 +98 0.0 +99 0.0 +100 0.0 +>>END_MODULE +>>Per base N content pass +#Base N-Count +1 0.029867574640935753 +2 0.0 +3 0.003733446830116969 +4 0.0 +5 3.733446830116969E-4 +6 0.0 +7 0.0 +8 0.0 +9 0.0 +10-11 0.0 +12-13 0.0 +14-15 0.0 +16-17 0.0 +18-19 0.0 +20-21 0.0 +22-23 0.0 +24-25 0.0 +26-27 0.0 +28-29 0.0 +30-31 0.0 +32-33 0.0 +34-35 0.0 +36-37 0.0 +38-39 0.0 +40-41 0.0 +42-43 0.0 +44-45 0.0 +46-47 0.0 +48-49 0.0 +50-51 0.0 +52-53 0.0 +54-55 0.0 +56-57 0.0 +58-59 0.0 +60-61 0.0 +62-63 0.0 +64-65 0.0 +66-67 0.0 +68-69 0.0 +70-71 0.0 +72-73 0.0 +74-75 0.0 +76-77 0.0 +78-79 0.0 +80-81 0.0 +82-83 0.0 +84-85 0.0 +86-87 0.0 +88-89 0.0 +90-91 0.0 +92-93 0.0 +94-95 0.0 +96-97 0.0 +98-99 0.0 +100-101 0.0 +>>END_MODULE +>>Sequence Length Distribution pass +#Length Count +101 267849.0 +>>END_MODULE +>>Sequence Duplication Levels warn +#Total Deduplicated Percentage 63.69408840068983 +#Duplication Level Percentage of deduplicated Percentage of total +1 81.5623716290639 51.950409087115126 +2 9.995611185249079 12.733226849043577 +3 3.1947144335386772 6.104532706343167 +4 1.4905270052149588 3.797510353351082 +5 0.8725392208870194 2.778779513412342 +6 0.55360835935223 2.115694786796508 +7 0.38537193434967776 1.718213983752925 +8 0.314619574221819 1.603152557845755 +9 0.2033036957962869 1.1654319215012086 +>10 1.4223398099582591 15.850860027094066 +>50 0.0049931523680946535 0.18218821374420768 +>100 0.0 0.0 +>500 0.0 0.0 +>1k 0.0 0.0 +>5k 0.0 0.0 +>10k+ 0.0 0.0 +>>END_MODULE +>>Overrepresented sequences pass +>>END_MODULE +>>Adapter Content pass +#Position Illumina Universal Adapter Illumina Small RNA Adapter Nextera Transposase Sequence SOLID Small RNA Adapter +1 0.0 0.0 0.0 0.0 +2 0.0 0.0 0.0 0.0 +3 0.0 0.0 0.0 0.0 +4 0.0 0.0 0.0 0.0 +5 0.0 0.0 0.0 0.0 +6 0.0 0.0 0.0 0.0 +7 0.0 0.0 0.0 0.0 +8 0.0 0.0 0.0 0.0 +9 0.0 0.0 0.0 0.0 +10-11 0.0 0.0 0.0 0.0 +12-13 0.0 0.0 0.0 0.0 +14-15 0.0 0.0 0.0 0.0 +16-17 0.0 0.0 0.0 0.0 +18-19 0.0 0.0 0.0 0.0 +20-21 0.0 0.0 0.0 0.0 +22-23 0.0 0.0 0.0 0.0 +24-25 0.0 0.0 0.0 0.0 +26-27 0.0 0.0 0.0 0.0 +28-29 0.0 0.0 0.0 0.0 +30-31 0.0 0.0 0.0 0.0 +32-33 0.0 0.0 0.0 0.0 +34-35 0.0 0.0 0.0 0.0 +36-37 0.0 0.0 0.0 0.0 +38-39 0.0 0.0 0.0 0.0 +40-41 0.0 0.0 0.0 0.0 +42-43 0.0 0.0 0.0 0.0 +44-45 0.0 0.0 0.0 0.0 +46-47 0.0 0.0 0.0 0.0 +48-49 0.0 0.0 0.0 0.0 +50-51 0.0 0.0 0.0 0.0 +52-53 0.0 0.0 0.0 0.0 +54-55 0.0 0.0 0.0 0.0 +56-57 0.0 0.0 0.0 0.0 +58-59 0.0 0.0 0.0 0.0 +60-61 0.0 0.0 0.0 0.0 +62-63 0.0 0.0 0.0 0.0 +64-65 0.0 0.0 0.0 0.0 +66-67 0.0 0.0 0.0 0.0 +68-69 0.0 0.0 0.0 0.0 +70-71 0.0 0.0 0.0 0.0 +72-73 0.0 0.0 0.0 0.0 +74-75 0.0 0.0 0.0 0.0 +76-77 0.0 0.0 0.0 0.0 +78-79 0.0 0.0 0.0 0.0 +80-81 0.0 0.0 0.0 0.0 +82-83 0.0 0.0 0.0 0.0 +84-85 0.0 0.0 0.0 0.0 +86-87 0.0 0.0 0.0 0.0 +88-89 0.0 0.0 0.0 0.0 +>>END_MODULE +>>Kmer Content warn +#Sequence Count PValue Obs/Exp Max Max Obs/Exp Position +TTAGTGG 50 0.0016122013 38.00672 3 +CCGGGAA 65 0.0058204937 29.246862 1 +CTCGCCA 65 0.0058204937 29.246862 1 +CCCGCTT 70 0.008357804 27.157803 1 +AACAATT 125 0.006013185 19.00336 2 +CTGGGAT 205 3.3062082E-4 16.228443 1 +AGTTCAA 195 0.0044498937 14.615241 5 +GAGTAGT 125 0.0014974214 13.29987 30-31 +AAGTTCA 220 0.009890434 12.954418 4 +CTGAAAT 275 0.003044474 12.097567 1 +CCCAGCT 405 3.2130985E-5 11.734852 1 +AGGGTGT 145 0.0045575905 11.465405 66-67 +CTGAATT 335 0.001024679 11.349529 1 +CTTGAAT 295 0.0051441877 11.277392 1 +GAATGTC 425 6.555659E-4 10.058724 4 +GGTAGTA 190 0.002949709 9.999902 52-53 +CTCTGCC 390 0.0036302158 9.748955 1 +CTCCTTT 535 5.356131E-4 8.883393 1 +CTTTGCT 500 0.0028739348 8.5547085 1 +>>END_MODULE diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/fastqc_data_2.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/fastqc_data_2.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,2170 @@ +##FastQC 0.11.4 +>>Basic Statistics pass +#Measure Value +Filename poulet5_2 +File type Conventional base calls +Encoding Sanger / Illumina 1.9 +Total Sequences 267849 +Sequences flagged as poor quality 0 +Sequence length 101 +%GC 48 +>>END_MODULE +>>Per base sequence quality warn +#Base Mean Median Lower Quartile Upper Quartile 10th Percentile 90th Percentile +1 20.590586487162543 21.0 21.0 21.0 20.0 21.0 +2 20.458478471078855 21.0 19.0 22.0 19.0 22.0 +3 20.178608096352797 21.0 20.0 21.0 18.0 22.0 +4 22.495204387546714 23.0 22.0 24.0 20.0 24.0 +5 24.59397272343746 25.0 24.0 26.0 24.0 26.0 +6 25.77560491172265 26.0 25.0 27.0 25.0 27.0 +7 26.651378201897337 27.0 26.0 28.0 26.0 28.0 +8 27.54968284369178 28.0 27.0 29.0 26.0 29.0 +9 27.089005372429988 28.0 26.0 28.0 26.0 28.0 +10-11 27.058984726469017 28.0 26.0 28.0 25.5 28.0 +12-13 26.954911162632676 27.5 26.0 28.0 25.5 28.0 +14-15 27.066410552214123 28.0 26.0 28.0 26.0 28.0 +16-17 27.04552938409328 28.0 26.0 28.0 25.5 28.0 +18-19 27.025118630273028 28.0 26.0 28.0 25.0 28.0 +20-21 27.019042445557012 28.0 26.0 28.0 25.0 28.0 +22-23 27.010315513591614 28.0 26.0 28.0 25.0 28.0 +24-25 27.03931879529138 28.0 26.0 28.0 25.5 28.0 +26-27 26.978450544896567 28.0 26.0 28.0 25.0 28.0 +28-29 27.003714779595967 28.0 26.0 28.0 25.0 28.0 +30-31 27.025971722873706 28.0 26.0 28.0 25.0 28.0 +32-33 27.017791740868923 28.0 26.0 28.0 25.0 28.0 +34-35 27.00628899118533 28.0 26.0 28.0 25.0 28.0 +36-37 27.00906294218011 28.0 26.0 28.0 25.0 28.0 +38-39 27.034922661648913 28.0 26.0 28.0 25.5 28.0 +40-41 27.005346295860726 28.0 26.0 28.0 25.0 28.0 +42-43 27.000909094303132 28.0 26.0 28.0 25.0 28.0 +44-45 27.004913216028434 28.0 26.0 28.0 25.0 28.0 +46-47 26.979999925331065 28.0 26.0 28.0 25.0 28.0 +48-49 26.941037674211962 27.5 26.0 28.0 25.0 28.0 +50-51 26.99995146519121 27.5 26.0 28.0 25.5 28.0 +52-53 26.95084543903468 27.5 26.0 28.0 25.0 28.0 +54-55 26.97609847339359 28.0 26.0 28.0 25.0 28.0 +56-57 26.99262270906369 27.5 26.0 28.0 25.0 28.0 +58-59 26.942271578389317 27.0 26.0 28.0 25.0 28.0 +60-61 26.88024222603034 27.0 26.0 28.0 25.0 28.0 +62-63 26.866450873439888 27.0 26.0 28.0 25.0 28.0 +64-65 26.947610407356386 28.0 26.0 28.0 25.0 28.0 +66-67 26.975012040366025 28.0 26.5 28.0 25.0 28.5 +68-69 26.966286975124042 28.0 26.5 28.0 25.0 29.0 +70-71 26.917634562757375 28.0 26.0 28.0 25.0 29.0 +72-73 26.885127441207544 28.0 26.0 28.0 25.0 29.0 +74-75 26.846286527110426 28.0 26.5 28.0 25.0 29.0 +76-77 26.769134848366058 28.0 26.0 28.0 25.0 29.0 +78-79 26.709703975000842 28.0 26.5 28.0 25.0 29.0 +80-81 26.551336760637525 27.5 26.0 28.0 25.0 28.5 +82-83 26.42626069165836 27.5 26.0 28.0 25.0 28.5 +84-85 26.309463541024982 27.5 26.0 28.0 25.0 29.0 +86-87 26.127226534353312 27.5 26.0 28.0 25.0 29.0 +88-89 25.91885539987082 27.5 26.0 28.0 24.0 29.0 +90-91 25.674260497519125 27.0 26.0 28.0 23.5 29.0 +92-93 25.371903572535274 27.0 26.0 28.0 22.0 29.0 +94-95 24.758753999454918 27.0 26.0 28.0 20.5 28.5 +96-97 23.84710415196622 26.5 25.0 27.5 7.0 28.0 +98-99 22.40618968149965 25.5 24.0 26.5 2.0 27.0 +100-101 23.009550156991438 27.0 25.0 28.0 2.0 29.0 +>>END_MODULE +>>Per tile sequence quality pass +#Tile Base Mean +1101 1 -0.1408369887985721 +1101 2 -0.019030947201084558 +1101 3 -0.060059442415557385 +1101 4 0.004085939732711097 +1101 5 -0.018429270835582656 +1101 6 -0.10404524639907464 +1101 7 0.05541229462318498 +1101 8 0.06703529503928962 +1101 9 0.0644374620344621 +1101 10-11 0.06977859906234585 +1101 12-13 0.048103685880093394 +1101 14-15 0.0848396420659725 +1101 16-17 0.030233298636137107 +1101 18-19 0.05253119669850648 +1101 20-21 0.08961672433820667 +1101 22-23 0.014190195653434046 +1101 24-25 -0.013817302849609803 +1101 26-27 0.046003756870838686 +1101 28-29 0.04599618351544166 +1101 30-31 0.04851104267937956 +1101 32-33 0.04656194043190354 +1101 34-35 0.057517795385400916 +1101 36-37 -0.00326392946157128 +1101 38-39 0.0753296536157606 +1101 40-41 0.005995075411309614 +1101 42-43 -0.013913414669129764 +1101 44-45 -0.03438241660346364 +1101 46-47 -0.028176852907705552 +1101 48-49 0.024338955929199102 +1101 50-51 0.028402595301869837 +1101 52-53 -0.014925605805846232 +1101 54-55 -0.039593664804112194 +1101 56-57 -0.02319294555917395 +1101 58-59 -0.05831481380350212 +1101 60-61 -0.007231705782142939 +1101 62-63 0.1346543703300931 +1101 64-65 0.019757339374642413 +1101 66-67 0.032473131921936016 +1101 68-69 0.06580901615117085 +1101 70-71 -5.192806625906599E-4 +1101 72-73 0.007598890765713406 +1101 74-75 0.018862762851210135 +1101 76-77 0.032333821260792206 +1101 78-79 0.012622327563921232 +1101 80-81 0.07758176267470418 +1101 82-83 0.0989714754431752 +1101 84-85 0.0737115932200112 +1101 86-87 0.1197152444492886 +1101 88-89 0.2945766871252822 +1101 90-91 0.39366183935213783 +1101 92-93 0.38892187749654283 +1101 94-95 0.4587836546800368 +1101 96-97 0.2815282150812948 +1101 98-99 0.27882391282161123 +1101 100-101 0.2642351714779956 +1102 1 -0.07975744334402535 +1102 2 -0.03332450286213273 +1102 3 -0.06284472012740139 +1102 4 0.0368379869674591 +1102 5 0.022244684777994905 +1102 6 0.04829943079057486 +1102 7 0.0964534173385907 +1102 8 0.12806291787337543 +1102 9 0.017503121896794482 +1102 10-11 0.09683028432225882 +1102 12-13 0.0801659040144358 +1102 14-15 0.09997323155090498 +1102 16-17 0.06881366001757883 +1102 18-19 0.10386227016159566 +1102 20-21 0.034994127613781956 +1102 22-23 0.08425050006833601 +1102 24-25 0.08546060185013005 +1102 26-27 0.1378511637068236 +1102 28-29 0.10893752578935434 +1102 30-31 0.10323748464472615 +1102 32-33 0.009366800389180696 +1102 34-35 0.06916329740296234 +1102 36-37 0.07905938527851575 +1102 38-39 0.0742726574135304 +1102 40-41 0.05207269231138412 +1102 42-43 0.08908437491074395 +1102 44-45 0.14235105716819518 +1102 46-47 0.04198358798952029 +1102 48-49 0.10279588982428223 +1102 50-51 0.12128845454706294 +1102 52-53 0.10804941199619833 +1102 54-55 0.0783485675718687 +1102 56-57 0.06077705800123567 +1102 58-59 0.12424141097693919 +1102 60-61 0.18279210444809735 +1102 62-63 0.061083725896200036 +1102 64-65 0.1318323156385901 +1102 66-67 0.1546303684517234 +1102 68-69 0.06580901615117085 +1102 70-71 -0.014914827185258162 +1102 72-73 0.020401525467825365 +1102 74-75 0.10567182112322726 +1102 76-77 0.3096377021057961 +1102 78-79 0.12471399324158483 +1102 80-81 0.06436931014681235 +1102 82-83 0.158391351422285 +1102 84-85 0.09494238185043713 +1102 86-87 0.14155983262873306 +1102 88-89 0.19229839671464788 +1102 90-91 0.0736534575576897 +1102 92-93 0.2624179758824887 +1102 94-95 0.3205025901179681 +1102 96-97 0.09446955735520746 +1102 98-99 0.10838605678078395 +1102 100-101 0.18711339068046584 +1103 1 -0.027478622968690303 +1103 2 -0.1440385635793433 +1103 3 -0.14964709169656842 +1103 4 -0.13658475853684848 +1103 5 0.09513473720731369 +1103 6 -0.05173976869983221 +1103 7 0.009584546633909952 +1103 8 -0.03515746026171129 +1103 9 0.008483739148768876 +1103 10-11 -0.0241998922854485 +1103 12-13 0.004138142375339271 +1103 14-15 -0.04413039510195205 +1103 16-17 -0.0629473770889426 +1103 18-19 0.019893111760655557 +1103 20-21 -0.08973375092379854 +1103 22-23 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-0.05673026401438008 +2208 56-57 -0.011264212273701446 +2208 58-59 0.023189549922602026 +2208 60-61 0.006747782461594909 +2208 62-63 -0.01223016480407324 +2208 64-65 -0.046661881212273215 +2208 66-67 -0.07132451570437937 +2208 68-69 0.029777426812572116 +2208 70-71 0.022442864854774314 +2208 72-73 0.10966408864778998 +2208 74-75 0.04632324813345079 +2208 76-77 0.14521578751763542 +2208 78-79 0.1962500815350232 +2208 80-81 0.1328581974319505 +2208 82-83 0.16223498728917818 +2208 84-85 0.29698166748188015 +2208 86-87 0.34962135142227524 +2208 88-89 0.4342264392117947 +2208 90-91 0.3797608757426971 +2208 92-93 0.4508154149191341 +2208 94-95 0.48645938159379654 +2208 96-97 0.5017912165171694 +2208 98-99 0.6138457594966518 +2208 100-101 0.5558034486475201 +>>END_MODULE +>>Per sequence quality scores warn +#Quality Count +2 308.0 +3 0.0 +4 0.0 +5 2.0 +6 2.0 +7 5.0 +8 11.0 +9 19.0 +10 24.0 +11 37.0 +12 67.0 +13 75.0 +14 135.0 +15 215.0 +16 364.0 +17 551.0 +18 904.0 +19 1284.0 +20 1843.0 +21 2574.0 +22 3707.0 +23 5673.0 +24 9154.0 +25 18567.0 +26 152994.0 +27 69334.0 +>>END_MODULE +>>Per base sequence content fail +#Base G A T C +1 24.259742395586485 12.979270544437881 10.183447832489852 52.57753922748578 +2 18.617901052497956 21.439745518763136 40.641206097693015 19.30114733104589 +3 24.37754107724875 22.73930460819342 24.34692681324179 28.53622750131604 +4 24.41562223491594 30.088221348595663 20.10050438866675 25.395652027821647 +5 26.98610037745147 30.530261453281515 22.40926790841108 20.074370260855932 +6 21.71820690015643 32.48808097099485 23.803336954776757 21.990375174071957 +7 20.013888422208034 18.00865412975221 38.0975848332456 23.879872614794156 +8 20.609746536294704 21.85895784565184 29.885495185720313 27.645800432333147 +9 20.915142486998274 20.74116386471482 31.829127605479208 26.5145660428077 +10-11 24.97414588070144 29.204327811565474 22.19142128587376 23.630105021859332 +12-13 22.91160317940332 24.228949893410093 27.574118253194897 25.285328673991692 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26.08801974246684 26.275252100997204 23.842164801809975 +64-65 23.963688496130285 26.01055072074191 25.83302532396985 24.19273545915796 +66-67 23.792323286627916 25.963135945999426 25.901534073302496 24.343006694070166 +68-69 23.88509944035632 26.06225895933903 26.086713036076297 23.965928564228353 +70-71 23.78392303126015 26.232877479475373 25.739315808533913 24.243883680730562 +72-73 23.80445698882579 26.11751397242476 25.980869818442482 24.097159220306963 +74-75 23.956781619494567 26.278238858461293 26.054418720995788 23.710560801048352 +76-77 23.885659457380836 26.073085955146368 25.85971946880519 24.181535118667608 +78-79 23.94035445344205 26.194236304783665 25.794384149278137 24.071025092496146 +80-81 23.81640401868217 26.158021870531527 26.12890098525662 23.896673125529684 +82-83 23.995467587087475 25.704269391092353 26.116256017860845 24.18400700395933 +84-85 23.760588988571918 25.9592158268278 26.086339691393285 24.193855493206993 +86-87 23.802261352966323 26.35799715137475 26.019186219075337 23.82055527658359 +88-89 24.123840280759396 26.200414418786984 25.7484739308182 23.927271369635424 +90-91 24.09603918625793 25.911801052085316 25.786170566251883 24.20598919540487 +92-93 23.827497890578915 26.454007153364245 25.948866139498072 23.769628816558768 +94-95 24.156707697247327 25.997670329178007 25.765076591661717 24.080545381912945 +96-97 24.214576123114142 26.079246142416064 25.670433714518254 24.03574401995154 +98-99 24.170334778177256 26.024551146354852 25.918147911696515 23.88696616377138 +100-101 24.662260557858183 25.864978902953588 25.310294611851685 24.162465927336545 +>>END_MODULE +>>Per sequence GC content pass +#GC Content Count +0 0.0 +1 0.0 +2 0.0 +3 0.0 +4 0.0 +5 0.0 +6 0.0 +7 0.0 +8 0.0 +9 0.0 +10 0.0 +11 0.0 +12 0.0 +13 0.0 +14 0.5 +15 2.5 +16 5.0 +17 6.0 +18 9.5 +19 18.0 +20 26.0 +21 35.5 +22 46.0 +23 71.0 +24 130.0 +25 233.5 +26 389.5 +27 542.5 +28 724.5 +29 1063.0 +30 1433.0 +31 1683.5 +32 1996.0 +33 2367.5 +34 2840.5 +35 3318.0 +36 3924.5 +37 4721.0 +38 5510.0 +39 6259.0 +40 7364.0 +41 8736.0 +42 9608.5 +43 10256.0 +44 10928.5 +45 11153.5 +46 11271.5 +47 12042.0 +48 12804.5 +49 12874.0 +50 12482.5 +51 11758.0 +52 10827.0 +53 10433.0 +54 10615.0 +55 9955.0 +56 8760.0 +57 7986.5 +58 6982.5 +59 5802.5 +60 4913.5 +61 4177.5 +62 3751.5 +63 3282.0 +64 2533.0 +65 1954.0 +66 1513.0 +67 1247.5 +68 1102.0 +69 957.0 +70 777.0 +71 535.5 +72 361.5 +73 253.0 +74 157.0 +75 99.0 +76 60.0 +77 46.5 +78 37.0 +79 21.5 +80 13.5 +81 16.5 +82 19.5 +83 14.0 +84 6.5 +85 3.0 +86 0.5 +87 0.0 +88 0.0 +89 0.0 +90 0.0 +91 0.0 +92 0.0 +93 0.0 +94 0.0 +95 0.0 +96 0.0 +97 0.0 +98 0.0 +99 0.0 +100 0.0 +>>END_MODULE +>>Per base N content pass +#Base N-Count +1 0.11461681768459094 +2 0.003733446830116969 +3 0.0 +4 0.0 +5 0.0 +6 0.0 +7 0.0 +8 0.0 +9 0.0 +10-11 0.0 +12-13 0.0 +14-15 0.0 +16-17 0.0 +18-19 0.0 +20-21 0.0 +22-23 0.0 +24-25 0.0 +26-27 0.0 +28-29 0.0 +30-31 0.0 +32-33 0.0 +34-35 0.0 +36-37 0.0 +38-39 0.0 +40-41 0.0 +42-43 0.0 +44-45 0.0 +46-47 0.0 +48-49 0.0 +50-51 0.0 +52-53 0.0 +54-55 0.0 +56-57 0.0 +58-59 0.0 +60-61 0.0 +62-63 0.0 +64-65 0.0 +66-67 0.0 +68-69 0.0 +70-71 0.0 +72-73 0.0 +74-75 0.0 +76-77 0.0 +78-79 0.0 +80-81 0.0 +82-83 1.8667234150584845E-4 +84-85 0.0 +86-87 1.8667234150584845E-4 +88-89 0.0014933787320467876 +90-91 0.0 +92-93 0.0011200340490350907 +94-95 0.0 +96-97 0.0 +98-99 0.0 +100-101 0.01456044263745618 +>>END_MODULE +>>Sequence Length Distribution pass +#Length Count +101 267849.0 +>>END_MODULE +>>Sequence Duplication Levels warn +#Total Deduplicated Percentage 63.826611251945884 +#Duplication Level Percentage of deduplicated Percentage of total +1 81.66283073871745 52.122617512935754 +2 9.894108596885154 12.630148461958491 +3 3.18062640137576 6.090258145748586 +4 1.5566170090070461 3.974143548082379 +5 0.8538567368205473 2.7249391002950074 +6 0.5533319107768025 2.119038045746843 +7 0.3960736941041749 1.7696029190496514 +8 0.2698969625036296 1.3781286803040145 +9 0.23212846037984958 1.3334375701059644 +>10 1.3969694370078172 15.730893862039416 +>50 0.0035600524217624095 0.12679215373389083 +>100 0.0 0.0 +>500 0.0 0.0 +>1k 0.0 0.0 +>5k 0.0 0.0 +>10k+ 0.0 0.0 +>>END_MODULE +>>Overrepresented sequences pass +>>END_MODULE +>>Adapter Content pass +#Position Illumina Universal Adapter Illumina Small RNA Adapter Nextera Transposase Sequence SOLID Small RNA Adapter +1 0.0 0.0 0.0 0.0 +2 0.0 0.0 0.0 0.0 +3 0.0 0.0 0.0 0.0 +4 0.0 0.0 0.0 0.0 +5 0.0 0.0 0.0 0.0 +6 0.0 0.0 0.0 0.0 +7 0.0 0.0 0.0 0.0 +8 0.0 0.0 0.0 0.0 +9 0.0 0.0 0.0 0.0 +10-11 0.0 0.0 0.0 0.0 +12-13 0.0 0.0 0.0 0.0 +14-15 0.0 0.0 0.0 0.0 +16-17 0.0 0.0 0.0 0.0 +18-19 0.0 0.0 0.0 0.0 +20-21 0.0 0.0 0.0 0.0 +22-23 0.0 0.0 0.0 0.0 +24-25 0.0 0.0 0.0 0.0 +26-27 0.0 0.0 0.0 0.0 +28-29 0.0 0.0 0.0 0.0 +30-31 0.0 0.0 0.0 0.0 +32-33 0.0 0.0 0.0 0.0 +34-35 0.0 0.0 0.0 0.0 +36-37 0.0 0.0 0.0 0.0 +38-39 0.0 0.0 0.0 0.0 +40-41 0.0 0.0 0.0 0.0 +42-43 0.0 0.0 0.0 0.0 +44-45 0.0 0.0 0.0 0.0 +46-47 0.0 0.0 0.0 0.0 +48-49 0.0 0.0 0.0 0.0 +50-51 0.0 0.0 0.0 0.0 +52-53 0.0 0.0 0.0 0.0 +54-55 0.0 0.0 0.0 0.0 +56-57 0.0 0.0 0.0 0.0 +58-59 0.0 0.0 0.0 0.0 +60-61 0.0 0.0 0.0 0.0 +62-63 0.0 0.0 0.0 0.0 +64-65 0.0 0.0 0.0 0.0 +66-67 0.0 0.0 0.0 0.0 +68-69 0.0 0.0 0.0 0.0 +70-71 0.0 0.0 0.0 0.0 +72-73 0.0 0.0 0.0 0.0 +74-75 0.0 0.0 0.0 0.0 +76-77 0.0 0.0 0.0 0.0 +78-79 0.0 0.0 0.0 0.0 +80-81 0.0 0.0 0.0 0.0 +82-83 0.0 0.0 0.0 0.0 +84-85 0.0 0.0 0.0 0.0 +86-87 0.0 0.0 0.0 0.0 +88-89 0.0 0.0 0.0 0.0 +>>END_MODULE +>>Kmer Content warn +#Sequence Count PValue Obs/Exp Max Max Obs/Exp Position +TACGAGG 60 0.0039460836 31.665857 9 +CCCAGAT 105 6.861368E-5 27.157375 1 +AATCAAC 70 0.008381328 27.142164 5 +CTTGTAT 120 0.004739449 19.802252 1 +TCGCTCA 130 0.007549489 18.268764 2 +CCCCACT 195 0.0044338168 14.623201 1 +TTCAACA 295 0.005166332 11.270898 2 +CTTGAAG 305 0.006593838 10.90747 1 +>>END_MODULE diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/featurecounts_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/featurecounts_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,12 @@ +Status 70: TopHat on data 1, data 4, and data 3: accepted_hits 75: TopHat on data 1, data 6, and data 5: accepted_hits 80: TopHat on data 1, data 8, and data 7: accepted_hits 85: TopHat on data 1, data 10, and data 9: accepted_hits 90: TopHat on data 1, data 12, and data 11: accepted_hits 95: TopHat on data 1, data 14, and data 13: accepted_hits +Assigned 321797 445012 394981 437485 388170 453929 +Unassigned_Ambiguity 2333 3424 3121 3692 2782 3554 +Unassigned_MultiMapping 19123 25293 22580 19907 21164 23533 +Unassigned_NoFeatures 111117 165786 129664 146327 132063 160805 +Unassigned_Unmapped 0 0 0 0 0 0 +Unassigned_MappingQuality 0 0 0 0 0 0 +Unassigned_FragmentLength 0 0 0 0 0 0 +Unassigned_Chimera 0 0 0 0 0 0 +Unassigned_Secondary 0 0 0 0 0 0 +Unassigned_Nonjunction 0 0 0 0 0 0 +Unassigned_Duplicate 0 0 0 0 0 0 diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/htseq_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/htseq_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,5 @@ +__no_feature 19 +__ambiguous 0 +__too_low_aQual 0 +__not_aligned 1336 +__alignment_not_unique 0 diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/log_fastqc.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/log_fastqc.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,57 @@ +[2017-05-25 01:09:17,435] multiqc [DEBUG ] No MultiQC config found: /home/dpryan/miniconda2/lib/python2.7/site-packages/multiqc-1.0-py2.7.egg/multiqc_config.yaml +[2017-05-25 01:09:17,435] multiqc [DEBUG ] No MultiQC config found: /home/dpryan/.multiqc_config.yaml +[2017-05-25 01:09:17,435] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml +[2017-05-25 01:09:17,435] multiqc [DEBUG ] Command used: /home/dpryan/miniconda2/bin/multiqc multiqc_WDir +[2017-05-25 01:09:17,435] multiqc [DEBUG ] Could not connect to multiqc.info for version check +[2017-05-25 01:09:17,435] multiqc [INFO ] This is MultiQC v1.0 +[2017-05-25 01:09:17,435] multiqc [DEBUG ] Command : /home/dpryan/miniconda2/bin/multiqc multiqc_WDir +[2017-05-25 01:09:17,435] multiqc [DEBUG ] Working dir : /tmp/tmptvpHhR/job_working_directory/000/2/working +[2017-05-25 01:09:17,435] multiqc [INFO ] Template : default +[2017-05-25 01:09:17,436] multiqc [INFO ] Searching 'multiqc_WDir' +[2017-05-25 01:09:17,436] multiqc [DEBUG ] Analysing modules: custom_content, peddy, methylQA, qualimap, preseq, quast, rna_seqc, rseqc, busco, goleft_indexcov, snpeff, gatk, htseq, bcftools, featureCounts, picard, prokka, samblaster, samtools, bamtools, bismark, hicup, salmon, kallisto, slamdunk, star, tophat, bowtie2, bowtie1, adapterRemoval, cutadapt, trimmomatic, skewer, sortmerna, fastq_screen, fastqc, clusterflow +[2017-05-25 01:09:17,436] multiqc [DEBUG ] Using temporary directory for creating report: /tmp/tmpExYq9v +[2017-05-25 01:09:17,570] multiqc.modules.custom_content.custom_content [DEBUG ] No custom content found +[2017-05-25 01:09:17,573] multiqc.modules.peddy.peddy [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,576] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,578] multiqc.modules.qualimap.QM_BamQC [DEBUG ] Using default Qualimap thresholds: 1, 5, 10, 30, 50 +[2017-05-25 01:09:17,579] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,581] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) +[2017-05-25 01:09:17,584] multiqc.modules.quast.quast [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,586] multiqc.modules.rna_seqc.rna_seqc [DEBUG ] Could not find any RNA-SeQC data in ('multiqc_WDir',) +[2017-05-25 01:09:17,589] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,591] multiqc.modules.busco.busco [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,594] multiqc.modules.goleft_indexcov.goleft_indexcov [DEBUG ] Did not find goleft indexcov outputs in ('multiqc_WDir',) +[2017-05-25 01:09:17,596] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) +[2017-05-25 01:09:17,598] multiqc.modules.gatk.gatk [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,601] multiqc.modules.htseq.htseq [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,603] multiqc.modules.bcftools.bcftools [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,606] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,609] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,611] multiqc.modules.prokka.prokka [DEBUG ] Could not find any Prokka data in ('multiqc_WDir',) +[2017-05-25 01:09:17,614] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) +[2017-05-25 01:09:17,617] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,619] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,621] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,624] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) +[2017-05-25 01:09:17,626] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) +[2017-05-25 01:09:17,629] multiqc.modules.kallisto.kallisto [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,631] multiqc.modules.slamdunk.slamdunk [DEBUG ] No slamdunk reports found. +[2017-05-25 01:09:17,633] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,636] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,638] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,641] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,643] multiqc.modules.adapterRemoval.adapterRemoval [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,645] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,648] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) +[2017-05-25 01:09:17,650] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) +[2017-05-25 01:09:17,652] multiqc.modules.sortmerna.sortmerna [DEBUG ] Could not find any SortMeRNA data in ('multiqc_WDir',) +[2017-05-25 01:09:17,655] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,694] multiqc.modules.fastqc.fastqc [INFO ] Found 1 reports +[2017-05-25 01:09:17,748] multiqc.modules.clusterflow.clusterflow [DEBUG ] Could not find any reports in ('multiqc_WDir',) +[2017-05-25 01:09:17,750] multiqc [INFO ] Compressing plot data +[2017-05-25 01:09:17,802] multiqc [INFO ] Report : multiqc_report.html +[2017-05-25 01:09:17,802] multiqc [INFO ] Data : multiqc_data +[2017-05-25 01:09:17,802] multiqc [DEBUG ] Moving data file from '/tmp/tmpExYq9v/multiqc_data/multiqc_general_stats.txt' to '/tmp/tmptvpHhR/job_working_directory/000/2/working/multiqc_data' +[2017-05-25 01:09:17,803] multiqc [DEBUG ] Moving data file from '/tmp/tmpExYq9v/multiqc_data/multiqc_fastqc.txt' to '/tmp/tmptvpHhR/job_working_directory/000/2/working/multiqc_data' +[2017-05-25 01:09:17,803] multiqc [DEBUG ] Moving data file from '/tmp/tmpExYq9v/multiqc_data/multiqc_sources.txt' to '/tmp/tmptvpHhR/job_working_directory/000/2/working/multiqc_data' +[2017-05-25 01:09:17,900] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/picard_CollectAlignmentSummaryMetrics.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/picard_CollectAlignmentSummaryMetrics.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,10 @@ +## htsjdk.samtools.metrics.StringHeader +# picard.analysis.CollectAlignmentSummaryMetrics MAX_INSERT_SIZE=100000 METRIC_ACCUMULATION_LEVEL=[ALL_READS] IS_BISULFITE_SEQUENCED=false REFERENCE_SEQUENCE=/data/repository/organisms/GRCm38_ensembl/genome_fasta/genome.fa INPUT=D11_H4K16ac_Rep1_R1_fastq_gz OUTPUT=/data/galaxy2/files/000/163/dataset_163662.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT EXPECTED_PAIR_ORIENTATIONS=[FR] ADAPTER_SEQUENCE=[AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT, AGATCGGAAGAGCTCGTATGCCGTCTTCTGCTTG, AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT, AGATCGGAAGAGCGGTTCAGCAGGAATGCCGAGACCGATCTCGTATGCCGTCTTCTGCTTG, AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT, AGATCGGAAGAGCACACGTCTGAACTCCAGTCACNNNNNNNNATCTCGTATGCCGTCTTCTGCTTG] STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Fri Apr 21 14:00:55 CEST 2017 + +## METRICS CLASS picard.analysis.AlignmentSummaryMetrics +CATEGORY TOTAL_READS PF_READS PCT_PF_READS PF_NOISE_READS PF_READS_ALIGNED PCT_PF_READS_ALIGNED PF_ALIGNED_BASES PF_HQ_ALIGNED_READS PF_HQ_ALIGNED_BASES PF_HQ_ALIGNED_Q20_BASES PF_HQ_MEDIAN_MISMATCHES PF_MISMATCH_RATE PF_HQ_ERROR_RATE PF_INDEL_RATE MEAN_READ_LENGTH READS_ALIGNED_IN_PAIRS PCT_READS_ALIGNED_IN_PAIRS BAD_CYCLES STRAND_BALANCE PCT_CHIMERAS PCT_ADAPTER SAMPLE LIBRARY READ_GROUP +UNPAIRED 16199126 16199126 1 112 15925118 0.983085 1189439864 11288718 843872901 802235299 0 0.011597 0.006165 0.000848 74.733459 0 0 0 0.494061 0 0.000014 + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/picard_CollectBaseDistributionByCycle.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/picard_CollectBaseDistributionByCycle.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,84 @@ +## htsjdk.samtools.metrics.StringHeader +# picard.analysis.CollectBaseDistributionByCycle CHART_OUTPUT=/data/galaxy2/files/000/163/dataset_163657.dat ALIGNED_READS_ONLY=true PF_READS_ONLY=true INPUT=D11_H4K16ac_Rep1_R1_fastq_gz OUTPUT=/data/galaxy2/files/000/163/dataset_163656.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=/data/repository/organisms/GRCm38_ensembl/genome_fasta/genome.fa STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Fri Apr 21 13:59:56 CEST 2017 + +## METRICS CLASS picard.analysis.BaseDistributionByCycleMetrics +READ_END CYCLE PCT_A PCT_C PCT_G PCT_T PCT_N +1 1 45.534532 6.100294 6.278409 41.942176 0.144589 +1 2 18.642016 31.079914 32.291905 17.974837 0.011328 +1 3 25.118841 24.321879 26.15791 24.401106 0.000264 +1 4 22.612561 27.464826 27.30928 22.606024 0.007309 +1 5 27.970543 22.96859 21.970694 27.090173 0 +1 6 28.405874 22.976144 21.741647 26.875952 0.000383 +1 7 31.150444 19.648545 20.094438 29.10656 0.000013 +1 8 31.215988 19.341113 20.496087 28.946812 0 +1 9 31.733121 18.755302 20.342562 29.169015 0 +1 10 31.51068 19.338274 20.26157 28.889475 0 +1 11 31.155932 19.344704 20.729096 28.770267 0 +1 12 28.641307 21.681095 22.115748 27.561843 0.000006 +1 13 28.644403 21.190688 21.233551 28.931359 0 +1 14 27.912176 22.509522 21.398893 28.179408 0 +1 15 29.987269 20.65125 20.583967 28.777514 0 +1 16 30.695446 20.751024 19.720664 28.832866 0 +1 17 32.301494 19.466964 19.056719 29.174754 0.000069 +1 18 31.991424 19.465319 19.428886 29.114371 0 +1 19 31.223398 19.283091 20.843846 28.649665 0 +1 20 30.001159 20.431045 21.682439 27.885357 0 +1 21 30.268972 20.128608 21.518529 28.08389 0 +1 22 29.507609 20.991486 21.551678 27.949227 0 +1 23 29.228924 20.961638 22.202396 27.607042 0 +1 24 28.895271 21.140428 22.773371 27.190931 0 +1 25 30.220087 20.183506 21.007244 28.589163 0 +1 26 30.747733 19.55149 20.989765 28.711005 0.000006 +1 27 30.618992 19.162575 20.686703 29.531698 0.000031 +1 28 31.561628 19.651299 20.291748 28.495305 0.000019 +1 29 31.889741 19.244628 20.387671 28.477401 0.000559 +1 30 30.01585 20.370968 21.669604 27.943339 0.000239 +1 31 29.948939 20.187892 21.74697 28.116198 0 +1 32 29.83526 20.721207 21.226889 28.216644 0 +1 33 28.951574 21.118594 21.807089 28.122743 0 +1 34 29.250508 21.589012 20.80903 28.351444 0.000006 +1 35 29.741069 20.846087 21.339816 28.073028 0 +1 36 29.685575 20.657699 21.409349 28.247377 0 +1 37 30.435943 19.845352 21.605325 28.11328 0.0001 +1 38 31.52442 19.566381 20.859275 28.049918 0.000006 +1 39 31.915805 19.322889 20.315213 28.445698 0.000396 +1 40 31.415236 19.831291 20.60081 28.152663 0 +1 41 31.151606 20.007274 19.953602 28.887329 0.000188 +1 42 29.605015 21.700164 21.132809 27.561943 0.000069 +1 43 28.856192 21.690732 21.620633 27.832141 0.000302 +1 44 28.354815 21.89939 21.789262 27.956319 0.000214 +1 45 28.785938 21.376155 22.083299 27.443347 0.311262 +1 46 30.020967 20.974608 20.997153 28.006939 0.000333 +1 47 30.905677 19.834877 21.050285 28.209156 0.000006 +1 48 31.123254 20.025503 20.781792 28.068879 0.000572 +1 49 32.061167 19.135286 20.210972 28.592399 0.000176 +1 50 31.368968 19.831498 20.33522 28.464018 0.000295 +1 51 30.241493 20.530902 21.628272 27.599157 0.000176 +1 52 29.272115 21.228524 22.138875 27.360278 0.000208 +1 53 28.876831 20.985166 22.109191 28.028328 0.000484 +1 54 28.25128 21.263287 22.617006 27.868106 0.000321 +1 55 29.677859 20.048159 21.516525 28.756368 0.001089 +1 56 31.025964 19.638994 21.162354 28.1717 0.000988 +1 57 32.3089 19.022943 19.727314 28.939987 0.000856 +1 58 33.069967 18.780516 19.315424 28.832859 0.001234 +1 59 32.5634 19.018873 19.681712 28.735624 0.000391 +1 60 31.033388 19.63991 20.28236 29.043106 0.001235 +1 61 28.877884 21.063797 22.54864 27.508242 0.001437 +1 62 28.206236 21.933072 21.756687 28.103248 0.000757 +1 63 28.076144 21.765468 22.13245 28.025345 0.000593 +1 64 28.444021 21.930975 21.519278 28.105031 0.000694 +1 65 30.427586 20.515343 21.251214 27.804511 0.001345 +1 66 30.96119 20.454946 20.819432 27.764078 0.000354 +1 67 31.55559 19.752271 19.98091 28.7104 0.000829 +1 68 30.884355 19.787006 21.169721 28.158438 0.000481 +1 69 29.915794 19.951388 21.827419 28.302832 0.002566 +1 70 29.720163 20.878848 21.185973 28.214947 0.00007 +1 71 28.563014 21.296438 21.558676 28.580233 0.001639 +1 72 27.775812 22.725309 21.897851 27.599987 0.001041 +1 73 28.801882 22.042398 21.835818 27.319535 0.000367 +1 74 29.842933 21.375107 20.192959 28.587638 0.001363 +1 75 28.875221 21.990286 22.042923 27.09157 0 + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/picard_CollectRnaSeqMetrics.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/picard_CollectRnaSeqMetrics.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,113 @@ +## htsjdk.samtools.metrics.StringHeader +# picard.analysis.CollectRnaSeqMetrics REF_FLAT=refFlat.tab STRAND_SPECIFICITY=NONE MINIMUM_LENGTH=500 CHART_OUTPUT=/tmp/tmpRJquSu/files/000/dataset_14.dat RRNA_FRAGMENT_PERCENTAGE=0.8 METRIC_ACCUMULATION_LEVEL=[ALL_READS] INPUT=picard_CollectRnaSeqMetrics_bam OUTPUT=/tmp/tmpRJquSu/files/000/dataset_15.dat ASSUME_SORTED=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=localref.fa STOP_AFTER=0 VERBOSITY=INFO QUIET=false COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json +## htsjdk.samtools.metrics.StringHeader +# Started on: Thu Dec 08 10:55:06 CET 2016 + +## METRICS CLASS picard.analysis.RnaSeqMetrics +PF_BASES PF_ALIGNED_BASES RIBOSOMAL_BASES CODING_BASES UTR_BASES INTRONIC_BASES INTERGENIC_BASES IGNORED_READS CORRECT_STRAND_READS INCORRECT_STRAND_READS PCT_RIBOSOMAL_BASES PCT_CODING_BASES PCT_UTR_BASES PCT_INTRONIC_BASES PCT_INTERGENIC_BASES PCT_MRNA_BASES PCT_USABLE_BASES PCT_CORRECT_STRAND_READS MEDIAN_CV_COVERAGE MEDIAN_5PRIME_BIAS MEDIAN_3PRIME_BIAS MEDIAN_5PRIME_TO_3PRIME_BIAS SAMPLE LIBRARY READ_GROUP +48870 48712 0 38786 0 9926 0 0 0 0 0.796231 0 0.203769 0.796231 0.793657 0 0.91593 0.430026 0.235755 1.402829 + +## HISTOGRAM java.lang.Integer +normalized_position All_Reads.normalized_coverage +0 0.313906 +1 0.333933 +2 0.365536 +3 0.344525 +4 0.371353 +5 0.378606 +6 0.518015 +7 0.51266 +8 0.500497 +9 0.690539 +10 0.829611 +11 0.784227 +12 0.825037 +13 0.730533 +14 0.73133 +15 0.693057 +16 0.873759 +17 0.774195 +18 0.721989 +19 0.791727 +20 0.697702 +21 0.698451 +22 0.568885 +23 0.689955 +24 0.580475 +25 0.602348 +26 0.657286 +27 0.600594 +28 0.48185 +29 0.478605 +30 0.646053 +31 0.689366 +32 0.740073 +33 0.695415 +34 0.708419 +35 0.714707 +36 0.707421 +37 0.793703 +38 0.84384 +39 0.819497 +40 0.982412 +41 1.172387 +42 1.28116 +43 1.379184 +44 1.416285 +45 1.32892 +46 1.248258 +47 1.308676 +48 1.085518 +49 1.006687 +50 0.851309 +51 0.693805 +52 0.672921 +53 0.684999 +54 0.62579 +55 0.529832 +56 0.546564 +57 0.566014 +58 0.615824 +59 0.565042 +60 0.547677 +61 0.642067 +62 0.83636 +63 0.937071 +64 1.057465 +65 1.168829 +66 1.375228 +67 1.489487 +68 1.530099 +69 1.287542 +70 1.442585 +71 1.347823 +72 1.424913 +73 1.468345 +74 1.796846 +75 1.79639 +76 1.747908 +77 1.76867 +78 1.773528 +79 1.670178 +80 1.740083 +81 1.809632 +82 2.019967 +83 2.201517 +84 2.150455 +85 2.327367 +86 2.261259 +87 1.929731 +88 1.936627 +89 1.80697 +90 1.789004 +91 1.642341 +92 1.408203 +93 1.159737 +94 0.990047 +95 0.697842 +96 0.377809 +97 0.243433 +98 0.218816 +99 0.223665 +100 0.225079 + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_all.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_all.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,5927 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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        + MultiQC: Summarize analysis results for multiple tools and samples in a single report
        + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        + Bioinformatics (2016)
        + doi: 10.1093/bioinformatics/btw354
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        For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

        +

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

        +

        MultiQC is published in Bioinformatics:

        +
        + MultiQC: Summarize analysis results for multiple tools and samples in a single report
        + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        + Bioinformatics (2016)
        + doi: 10.1093/bioinformatics/btw354
        + PMID: 27312411 +
        +
        + +
        + +
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        + + + + +

        + + + +

        + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

        + + + + + + +
         Loading report..
        + +
        +

        Report generated on 2017-05-24, 21:48 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/46/working/multiqc_WDir + +

        + + + +
        + + + + + + + + +
        +

        General Statistics

        + + + + + + + + + + Showing 15/15 rows and 17/21 columns. + +
        +
        + +
        Sample Name% AssignedM Assigned% DupsInsert SizeError rateM Non-PrimaryM Reads Mapped% MappedM Total seqsM Reads Mapped% Aligned% AlignedM Aligned% Trimmed% Dups% GCM Seqs
        70: TopHat on data 1, data 4, and data 3: accepted_hits
        70.8%
        0.3
        75: TopHat on data 1, data 6, and data 5: accepted_hits
        69.6%
        0.4
        80: TopHat on data 1, data 8, and data 7: accepted_hits
        71.8%
        0.4
        85: TopHat on data 1, data 10, and data 9: accepted_hits
        72.0%
        0.4
        90: TopHat on data 1, data 12, and data 11: accepted_hits
        71.3%
        0.4
        95: TopHat on data 1, data 14, and data 13: accepted_hits
        70.7%
        0.5
        bismark_data
        69.7%
        dataset_114
        0.6%
        dataset_197
        176bp
        dataset_33
        10.8%
        poulet5_1
        36.3%
        48%
        0.3
        poulet5_2
        36.2%
        48%
        0.3
        samtools_flagstat
        20.7
        samtools_stats
        0.42%
        0.0
        0.6
        100.0%
        0.6
        tophat_data
        99.5%
        0.3
        + + +
        + + + + + +
        +

        featureCounts

        +

        Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

        + + +
        + +
        + + +
        +
        loading..
        +
        + +
        + + +
        +
        + +
        +

        Picard

        +

        Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

        + + +
        + +

        Mark Duplicates

        + +
        + + +
        +
        loading..
        +
        +
        +
        + + + +
        + +

        Insert Size

        + +

        Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

        + + +
        + +
        loading..
        +
        +
        +
        + + + +
        + +

        GC Coverage Bias

        + +

        This plot shows bias in coverage across regions of the genome with varying GC content. A perfect library would be a flat line at y = 1.

        loading..
        +
        + +
        + + +
        +
        + +
        +

        Samtools

        +

        Samtools is a suite of programs for interacting with high-throughput sequencing data.

        + + +
        + +

        Percent Mapped

        + +

        Alignment metrics from samtools stats; mapped vs. unmapped reads.

        + + +
        +
        loading..
        +
        +
        +
        + + + +
        + +

        Alignment metrics

        + +

        This module parses the output from samtools stats. All numbers in millions.

        +
        loading..
        +
        +
        +
        + + + +
        + +

        Samtools Flagstat

        + +

        This module parses the output from samtools flagstat. All numbers in millions.

        +
        loading..
        +
        + +
        + + +
        +
        + +
        +

        Bismark

        +

        Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

        + + +
        + +

        Alignment Rates

        + +
        + + +
        +
        loading..
        +
        +
        +
        + + + +
        + +

        Strand Alignment

        + +
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        +
        loading..
        +
        + +
        + + +
        +
        + +
        +

        Tophat

        +

        Tophat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes.

        + + +
        + +
        + + +
        +
        loading..
        +
        + +
        + + +
        +
        + +
        +

        Cutadapt

        +

        Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

        + + +
        + +

        This plot shows the number of reads with certain lengths of adapter trimmed. + Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak + may be related to adapter length. See the + cutadapt documentation + for more information on how these numbers are generated.

        + + +
        + +
        loading..
        +
        + +
        + + +
        +
        + +
        +

        FastQC

        +

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        + + +
        + +

        Sequence Quality Histograms

        + +

        The mean quality value across each base position in the read. See the FastQC help.

        loading..
        +
        +
        +
        + + + +
        + +

        Per Sequence Quality Scores

        + +

        The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

        loading..
        +
        +
        +
        + + + +
        + +

        Per Base Sequence Content

        + +

        The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

        +
        + + Click a sample row to see a line plot for that dataset. +
        +
        Rollover for sample name
        + +
        + Position: - +
        %T: -
        +
        %C: -
        +
        %A: -
        +
        %G: -
        +
        +
        +
        + +
        +
        +
        +
        + +
        +
        + + + +
        + +

        Per Sequence GC Content

        + +

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. + See the FastQC help.

        + + +
        + +
        loading..
        +
        +
        +
        + + + +
        + +

        Per Base N Content

        + +

        The percentage of base calls at each position for which an N was called. See the FastQC help.

        loading..
        +
        +
        +
        + + + +
        + +

        Sequence Length Distribution

        + +

        All samples have sequences of a single length (101bp).

        +
        +
        + + + +
        + +

        Sequence Duplication Levels

        + +

        The relative level of duplication found for every sequence. See the FastQC help.

        loading..
        +
        +
        +
        + + + +
        + +

        Overrepresented sequences

        + +

        The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

        2 samples had less than 1% of reads made up of overrepresented sequences
        +
        +
        + + + +
        + +

        Adapter Content

        + +

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

        No samples found with any adapter contamination > 0.1%
        + +
        + + +
        + + + +
        + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_bismark.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_bismark.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4682 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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              + MultiQC: Summarize analysis results for multiple tools and samples in a single report
              + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
              + Bioinformatics (2016)
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              +

              MultiQC is published in Bioinformatics:

              +
              + MultiQC: Summarize analysis results for multiple tools and samples in a single report
              + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
              + Bioinformatics (2016)
              + doi: 10.1093/bioinformatics/btw354
              + PMID: 27312411 +
              +
              + +
              + +
              + + + +
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              + + + +

              + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

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              Report generated on 2017-05-24, 21:46 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/29/working/multiqc_WDir + +

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              +

              General Statistics

              + + + + + + Showing 1/1 rows and 1/2 columns. + +
              +
              + +
              Sample Name% Aligned
              bismark_data
              69.7%
              + + +
              + + + + + +
              +

              Bismark

              +

              Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

              + + +
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              Alignment Rates

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              loading..
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                    + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                    + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                    + Bioinformatics (2016)
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                    +

                    For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                    +

                    You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                    +

                    MultiQC is published in Bioinformatics:

                    +
                    + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                    + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                    + Bioinformatics (2016)
                    + doi: 10.1093/bioinformatics/btw354
                    + PMID: 27312411 +
                    +
                    + +
                    + +
                    + + + +
                    + + + +

                    + + + + +

                    + + + +

                    + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                    + + + + + + +
                     Loading report..
                    + +
                    +

                    Report generated on 2017-05-24, 21:44 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/12/working/multiqc_WDir + +

                    + + + +
                    + + + + + + + + +
                    +

                    General Statistics

                    + + + + + + Showing 2/2 rows and 1/1 columns. + +
                    +
                    + +
                    Sample Name% Aligned
                    bowtie2SE1
                    98.3%
                    bowtie2SE2
                    98.3%
                    + + +
                    + + + + + +
                    +

                    Bowtie 2

                    +

                    Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences.

                    + + +
                    + +
                    + + +
                    +
                    loading..
                    +
                    + +
                    + + +
                    + + + +
                    + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_cutadapt.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_cutadapt.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4650 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                    +
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                          +
                          +
                          + +
                          +
                          + +
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                          + +

                          Note that additional data was saved in multiqc_data when this report was generated.

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                          + +

                          If you use plots from MultiQC in a publication or presentation, please cite:

                          +
                          + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                          + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                          + Bioinformatics (2016)
                          + doi: 10.1093/bioinformatics/btw354
                          + PMID: 27312411 +
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                          +

                          About MultiQC

                          +

                          This report was generated using MultiQC, version 1.0

                          +

                          You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                          +

                          For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                          +

                          You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                          +

                          MultiQC is published in Bioinformatics:

                          +
                          + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                          + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                          + Bioinformatics (2016)
                          + doi: 10.1093/bioinformatics/btw354
                          + PMID: 27312411 +
                          +
                          + +
                          + +
                          + + + +
                          + + + +

                          + + + + +

                          + + + +

                          + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                          + + + + + + +
                           Loading report..
                          + +
                          +

                          Report generated on 2017-05-24, 21:43 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/7/working/multiqc_WDir + +

                          + + + +
                          + + + + + + + + +
                          +

                          General Statistics

                          + + + + + + Showing 1/1 rows and 1/1 columns. + +
                          +
                          + +
                          Sample Name% Trimmed
                          dataset_33
                          10.8%
                          + + +
                          + + + + + +
                          +

                          Cutadapt

                          +

                          Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

                          + + +
                          + +

                          This plot shows the number of reads with certain lengths of adapter trimmed. + Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak + may be related to adapter length. See the + cutadapt documentation + for more information on how these numbers are generated.

                          + + +
                          + +
                          loading..
                          +
                          + +
                          + + +
                          + + + +
                          + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_fastqc.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_fastqc.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,5477 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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                                Download the raw data used to create the plots in this report below:

                                +
                                +
                                + +
                                +
                                + +
                                +
                                + +

                                Note that additional data was saved in multiqc_data when this report was generated.

                                + +
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                                Choose Plots
                                + + +
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                                + +

                                If you use plots from MultiQC in a publication or presentation, please cite:

                                +
                                + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                + Bioinformatics (2016)
                                + doi: 10.1093/bioinformatics/btw354
                                + PMID: 27312411 +
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                                +
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                                +

                                About MultiQC

                                +

                                This report was generated using MultiQC, version 1.0

                                +

                                You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                +

                                For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                +

                                You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                +

                                MultiQC is published in Bioinformatics:

                                +
                                + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                + Bioinformatics (2016)
                                + doi: 10.1093/bioinformatics/btw354
                                + PMID: 27312411 +
                                +
                                + +
                                + +
                                + + + +
                                + + + +

                                + + + + +

                                + + + +

                                + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                + + + + + + +
                                 Loading report..
                                + +
                                +

                                Report generated on 2017-05-24, 21:41 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/2/working/multiqc_WDir + +

                                + + + +
                                + + + + + + + + +
                                +

                                General Statistics

                                + + + + + + + + + + Showing 1/1 rows and 3/5 columns. + +
                                +
                                + +
                                Sample Name% Dups% GCM Seqs
                                poulet5_1
                                36.3%
                                48%
                                0.3
                                + + +
                                + + + + + +
                                +

                                FastQC

                                +

                                FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

                                + + +
                                + +

                                Sequence Quality Histograms

                                + +

                                The mean quality value across each base position in the read. See the FastQC help.

                                loading..
                                +
                                +
                                +
                                + + + +
                                + +

                                Per Sequence Quality Scores

                                + +

                                The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

                                loading..
                                +
                                +
                                +
                                + + + +
                                + +

                                Per Base Sequence Content

                                + +

                                The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

                                +
                                + + Click a sample row to see a line plot for that dataset. +
                                +
                                Rollover for sample name
                                + +
                                + Position: - +
                                %T: -
                                +
                                %C: -
                                +
                                %A: -
                                +
                                %G: -
                                +
                                +
                                +
                                + +
                                +
                                +
                                +
                                + +
                                +
                                + + + +
                                + +

                                Per Sequence GC Content

                                + +

                                The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. + See the FastQC help.

                                + + +
                                + +
                                loading..
                                +
                                +
                                +
                                + + + +
                                + +

                                Per Base N Content

                                + +

                                The percentage of base calls at each position for which an N was called. See the FastQC help.

                                loading..
                                +
                                +
                                +
                                + + + +
                                + +

                                Sequence Length Distribution

                                + +

                                All samples have sequences of a single length (101bp).

                                +
                                +
                                + + + +
                                + +

                                Sequence Duplication Levels

                                + +

                                The relative level of duplication found for every sequence. See the FastQC help.

                                loading..
                                +
                                +
                                +
                                + + + +
                                + +

                                Overrepresented sequences

                                + +

                                The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

                                1 samples had less than 1% of reads made up of overrepresented sequences
                                +
                                +
                                + + + +
                                + +

                                Adapter Content

                                + +

                                The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

                                No samples found with any adapter contamination > 0.1%
                                + +
                                + + +
                                + + + +
                                + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_fastqc_2.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_fastqc_2.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,5477 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                +
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                                      Download the raw data used to create the plots in this report below:

                                      +
                                      +
                                      + +
                                      +
                                      + +
                                      +
                                      + +

                                      Note that additional data was saved in multiqc_data when this report was generated.

                                      + +
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                                      + + +
                                      + +
                                      + +

                                      If you use plots from MultiQC in a publication or presentation, please cite:

                                      +
                                      + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                      + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                      + Bioinformatics (2016)
                                      + doi: 10.1093/bioinformatics/btw354
                                      + PMID: 27312411 +
                                      +
                                      +
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                                      +

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                                      + + +
                                      +
                                      +
                                      + + +
                                      +

                                      About MultiQC

                                      +

                                      This report was generated using MultiQC, version 1.0

                                      +

                                      You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                      +

                                      For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                      +

                                      You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                      +

                                      MultiQC is published in Bioinformatics:

                                      +
                                      + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                      + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                      + Bioinformatics (2016)
                                      + doi: 10.1093/bioinformatics/btw354
                                      + PMID: 27312411 +
                                      +
                                      + +
                                      + +
                                      + + + +
                                      + + + +

                                      + + + + +

                                      + + + +

                                      + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                      + + + + + + +
                                       Loading report..
                                      + +
                                      +

                                      Report generated on 2017-05-24, 21:43 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/5/working/multiqc_WDir + +

                                      + + + +
                                      + + + + + + + + +
                                      +

                                      General Statistics

                                      + + + + + + + + + + Showing 2/2 rows and 3/5 columns. + +
                                      +
                                      + +
                                      Sample Name% Dups% GCM Seqs
                                      poulet5_1
                                      36.3%
                                      48%
                                      0.3
                                      poulet5_2
                                      36.2%
                                      48%
                                      0.3
                                      + + +
                                      + + + + + +
                                      +

                                      FastQC

                                      +

                                      FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

                                      + + +
                                      + +

                                      Sequence Quality Histograms

                                      + +

                                      The mean quality value across each base position in the read. See the FastQC help.

                                      loading..
                                      +
                                      +
                                      +
                                      + + + +
                                      + +

                                      Per Sequence Quality Scores

                                      + +

                                      The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

                                      loading..
                                      +
                                      +
                                      +
                                      + + + +
                                      + +

                                      Per Base Sequence Content

                                      + +

                                      The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

                                      +
                                      + + Click a sample row to see a line plot for that dataset. +
                                      +
                                      Rollover for sample name
                                      + +
                                      + Position: - +
                                      %T: -
                                      +
                                      %C: -
                                      +
                                      %A: -
                                      +
                                      %G: -
                                      +
                                      +
                                      +
                                      + +
                                      +
                                      +
                                      +
                                      + +
                                      +
                                      + + + +
                                      + +

                                      Per Sequence GC Content

                                      + +

                                      The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. + See the FastQC help.

                                      + + +
                                      + +
                                      loading..
                                      +
                                      +
                                      +
                                      + + + +
                                      + +

                                      Per Base N Content

                                      + +

                                      The percentage of base calls at each position for which an N was called. See the FastQC help.

                                      loading..
                                      +
                                      +
                                      +
                                      + + + +
                                      + +

                                      Sequence Length Distribution

                                      + +

                                      All samples have sequences of a single length (101bp).

                                      +
                                      +
                                      + + + +
                                      + +

                                      Sequence Duplication Levels

                                      + +

                                      The relative level of duplication found for every sequence. See the FastQC help.

                                      loading..
                                      +
                                      +
                                      +
                                      + + + +
                                      + +

                                      Overrepresented sequences

                                      + +

                                      The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

                                      2 samples had less than 1% of reads made up of overrepresented sequences
                                      +
                                      +
                                      + + + +
                                      + +

                                      Adapter Content

                                      + +

                                      The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

                                      No samples found with any adapter contamination > 0.1%
                                      + +
                                      + + +
                                      + + + +
                                      + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_featurecounts.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_featurecounts.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4656 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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                                            +

                                            Download the raw data used to create the plots in this report below:

                                            +
                                            +
                                            + +
                                            +
                                            + +
                                            +
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                                            Note that additional data was saved in multiqc_data when this report was generated.

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                                            + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                            + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                            + Bioinformatics (2016)
                                            + doi: 10.1093/bioinformatics/btw354
                                            + PMID: 27312411 +
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                                            +

                                            For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                            +

                                            You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                            +

                                            MultiQC is published in Bioinformatics:

                                            +
                                            + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                            + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                            + Bioinformatics (2016)
                                            + doi: 10.1093/bioinformatics/btw354
                                            + PMID: 27312411 +
                                            +
                                            + +
                                            + +
                                            + + + +
                                            + + + +

                                            + + + + +

                                            + + + +

                                            + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                            + + + + + + +
                                             Loading report..
                                            + +
                                            +

                                            Report generated on 2017-05-24, 21:44 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/14/working/multiqc_WDir + +

                                            + + + +
                                            + + + + + + + + +
                                            +

                                            General Statistics

                                            + + + + + + Showing 6/6 rows and 2/2 columns. + +
                                            +
                                            + +
                                            Sample Name% AssignedM Assigned
                                            70: TopHat on data 1, data 4, and data 3: accepted_hits
                                            70.8%
                                            0.3
                                            75: TopHat on data 1, data 6, and data 5: accepted_hits
                                            69.6%
                                            0.4
                                            80: TopHat on data 1, data 8, and data 7: accepted_hits
                                            71.8%
                                            0.4
                                            85: TopHat on data 1, data 10, and data 9: accepted_hits
                                            72.0%
                                            0.4
                                            90: TopHat on data 1, data 12, and data 11: accepted_hits
                                            71.3%
                                            0.4
                                            95: TopHat on data 1, data 14, and data 13: accepted_hits
                                            70.7%
                                            0.5
                                            + + +
                                            + + + + + +
                                            +

                                            featureCounts

                                            +

                                            Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

                                            + + +
                                            + +
                                            + + +
                                            +
                                            loading..
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                                                  + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                  + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                  + Bioinformatics (2016)
                                                  + doi: 10.1093/bioinformatics/btw354
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                                                  This report was generated using MultiQC, version 1.0

                                                  +

                                                  You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                  +

                                                  For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                  +

                                                  You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                  +

                                                  MultiQC is published in Bioinformatics:

                                                  +
                                                  + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                  + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                  + Bioinformatics (2016)
                                                  + doi: 10.1093/bioinformatics/btw354
                                                  + PMID: 27312411 +
                                                  +
                                                  + +
                                                  + +
                                                  + + + +
                                                  + + + +

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                                                  + + + +

                                                  + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                  + + + + + + +
                                                   Loading report..
                                                  + +
                                                  +

                                                  Report generated on 2017-05-24, 21:45 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/23/working/multiqc_WDir + +

                                                  + + + +
                                                  + + + + + + + + +
                                                  +

                                                  General Statistics

                                                  + + + + + + Showing 1/1 rows and 2/2 columns. + +
                                                  +
                                                  + +
                                                  Sample Name% AssignedM Assigned
                                                  htseq_data
                                                  0.0%
                                                  0.0
                                                  + + +
                                                  + + + + + +
                                                  +

                                                  HTSeq Count

                                                  +

                                                  HTSeq Count is part of the HTSeq Python package - it takes a file with aligned sequencing reads, plus a list of genomic features and counts how many reads map to each feature.

                                                  + + +
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                                                  loading..
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                                                        Note that additional data was saved in multiqc_data when this report was generated.

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                                                        If you use plots from MultiQC in a publication or presentation, please cite:

                                                        +
                                                        + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                        + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                        + Bioinformatics (2016)
                                                        + doi: 10.1093/bioinformatics/btw354
                                                        + PMID: 27312411 +
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                                                        About MultiQC

                                                        +

                                                        This report was generated using MultiQC, version 1.0

                                                        +

                                                        You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                        +

                                                        For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                        +

                                                        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                        +

                                                        MultiQC is published in Bioinformatics:

                                                        +
                                                        + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                        + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                        + Bioinformatics (2016)
                                                        + doi: 10.1093/bioinformatics/btw354
                                                        + PMID: 27312411 +
                                                        +
                                                        + +
                                                        + +
                                                        + + + +
                                                        + + + +

                                                        + + + + +

                                                        + + + +

                                                        + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                        + + + + + + +
                                                         Loading report..
                                                        + +
                                                        +

                                                        Report generated on 2017-05-24, 21:45 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/21/working/multiqc_WDir + +

                                                        + + + +
                                                        + + + + + + + + +
                                                        +

                                                        General Statistics

                                                        + + + + + + + + + + Showing 4/4 rows and 5/6 columns. + +
                                                        +
                                                        + +
                                                        Sample Name% rRNA% mRNA% DupsInsert Size% Aligned
                                                        D11_H4K16ac_Rep1_R1_fastq_gz
                                                        98%
                                                        dataset_114
                                                        0.6%
                                                        dataset_197
                                                        176bp
                                                        picard_CollectRnaSeqMetrics_bam
                                                        %
                                                        79.6%
                                                        + + +
                                                        + + + + + +
                                                        +

                                                        Picard

                                                        +

                                                        Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

                                                        + + +
                                                        + +

                                                        Mark Duplicates

                                                        + +
                                                        + + +
                                                        +
                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        Insert Size

                                                        + +

                                                        Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

                                                        + + +
                                                        + +
                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        Base Distribution

                                                        + +

                                                        Plot shows the distribution of bases by cycle.

                                                        + + + + + +
                                                        + +
                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        GC Coverage Bias

                                                        + +

                                                        This plot shows bias in coverage across regions of the genome with varying GC content. A perfect library would be a flat line at y = 1.

                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        RnaSeqMetrics Assignment

                                                        + +

                                                        Number of bases in primary alignments that align to regions in the reference genome.

                                                        + + +
                                                        +
                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        Gene Coverage

                                                        + +
                                                        loading..
                                                        +
                                                        +
                                                        +
                                                        + + + +
                                                        + +

                                                        Alignment Summary

                                                        + +

                                                        Plase note that Picard's read counts are divided by two for paired-end data.

                                                        + + +
                                                        +
                                                        loading..
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                                                              +
                                                              +
                                                              + +
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                                                              + +
                                                              +
                                                              + +

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                                                              + +
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                                                              If you use plots from MultiQC in a publication or presentation, please cite:

                                                              +
                                                              + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                              + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                              + Bioinformatics (2016)
                                                              + doi: 10.1093/bioinformatics/btw354
                                                              + PMID: 27312411 +
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                                                              +

                                                              About MultiQC

                                                              +

                                                              This report was generated using MultiQC, version 1.0

                                                              +

                                                              You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                              +

                                                              For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                              +

                                                              You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                              +

                                                              MultiQC is published in Bioinformatics:

                                                              +
                                                              + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                              + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                              + Bioinformatics (2016)
                                                              + doi: 10.1093/bioinformatics/btw354
                                                              + PMID: 27312411 +
                                                              +
                                                              + +
                                                              + +
                                                              + + + +
                                                              + + + +

                                                              + + + + +

                                                              + + + +

                                                              + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                              + + + + + + +
                                                               Loading report..
                                                              + +
                                                              +

                                                              Report generated on 2017-05-24, 21:46 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/27/working/multiqc_WDir + +

                                                              + + + +
                                                              + + + + + + + + + + + + +
                                                              +

                                                              STAR

                                                              +

                                                              STAR is an ultrafast universal RNA-seq aligner.

                                                              + + +
                                                              + +

                                                              Gene Counts

                                                              + +

                                                              Statistics from results generated using --quantMode GeneCounts. The three tabs show counts for unstranded RNA-seq, counts for the 1st read strand aligned with RNA and counts for the 2nd read strand aligned with RNA.

                                                              + + +
                                                                 
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                                                                    + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                    + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                    + Bioinformatics (2016)
                                                                    + doi: 10.1093/bioinformatics/btw354
                                                                    + PMID: 27312411 +
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                                                                    +

                                                                    This report was generated using MultiQC, version 1.0

                                                                    +

                                                                    You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                                    +

                                                                    For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                                    +

                                                                    You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                                    +

                                                                    MultiQC is published in Bioinformatics:

                                                                    +
                                                                    + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                    + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                    + Bioinformatics (2016)
                                                                    + doi: 10.1093/bioinformatics/btw354
                                                                    + PMID: 27312411 +
                                                                    +
                                                                    + +
                                                                    + +
                                                                    + + + +
                                                                    + + + +

                                                                    + + + + +

                                                                    + + + +

                                                                    + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                                    + + + + + + +
                                                                     Loading report..
                                                                    + +
                                                                    +

                                                                    Report generated on 2017-05-24, 21:46 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/25/working/multiqc_WDir + +

                                                                    + + + +
                                                                    + + + + + + + + +
                                                                    +

                                                                    General Statistics

                                                                    + + + + + + Showing 1/1 rows and 2/2 columns. + +
                                                                    +
                                                                    + +
                                                                    Sample Name% AlignedM Aligned
                                                                    rnastar_log
                                                                    89.0%
                                                                    0.0
                                                                    + + +
                                                                    + + + + + +
                                                                    +

                                                                    STAR

                                                                    +

                                                                    STAR is an ultrafast universal RNA-seq aligner.

                                                                    + + +
                                                                    + +

                                                                    Alignment Scores

                                                                    + +
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                                                                    loading..
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                                                                    + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_samtools.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_samtools.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4747 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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                                                                          Note that additional data was saved in multiqc_data when this report was generated.

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                                                                          If you use plots from MultiQC in a publication or presentation, please cite:

                                                                          +
                                                                          + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                          + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                          + Bioinformatics (2016)
                                                                          + doi: 10.1093/bioinformatics/btw354
                                                                          + PMID: 27312411 +
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                                                                          About MultiQC

                                                                          +

                                                                          This report was generated using MultiQC, version 1.0

                                                                          +

                                                                          You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                                          +

                                                                          For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                                          +

                                                                          You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                                          +

                                                                          MultiQC is published in Bioinformatics:

                                                                          +
                                                                          + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                          + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                          + Bioinformatics (2016)
                                                                          + doi: 10.1093/bioinformatics/btw354
                                                                          + PMID: 27312411 +
                                                                          +
                                                                          + +
                                                                          + +
                                                                          + + + +
                                                                          + + + +

                                                                          + + + + +

                                                                          + + + +

                                                                          + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                                          + + + + + + +
                                                                           Loading report..
                                                                          + +
                                                                          +

                                                                          Report generated on 2017-05-24, 21:46 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/32/working/multiqc_WDir + +

                                                                          + + + +
                                                                          + + + + + + + + +
                                                                          +

                                                                          General Statistics

                                                                          + + + + + + + + + + Showing 2/2 rows and 6/6 columns. + +
                                                                          +
                                                                          + +
                                                                          Sample NameError rateM Non-PrimaryM Reads Mapped% MappedM Total seqsM Reads Mapped
                                                                          samtools_flagstat
                                                                          20.7
                                                                          samtools_stats
                                                                          0.42%
                                                                          0.0
                                                                          0.6
                                                                          100.0%
                                                                          0.6
                                                                          + + +
                                                                          + + + + + +
                                                                          +

                                                                          Samtools

                                                                          +

                                                                          Samtools is a suite of programs for interacting with high-throughput sequencing data.

                                                                          + + +
                                                                          + +

                                                                          Percent Mapped

                                                                          + +

                                                                          Alignment metrics from samtools stats; mapped vs. unmapped reads.

                                                                          + + +
                                                                          +
                                                                          loading..
                                                                          +
                                                                          +
                                                                          +
                                                                          + + + +
                                                                          + +

                                                                          Alignment metrics

                                                                          + +

                                                                          This module parses the output from samtools stats. All numbers in millions.

                                                                          +
                                                                          loading..
                                                                          +
                                                                          +
                                                                          +
                                                                          + + + +
                                                                          + +

                                                                          Samtools Flagstat

                                                                          + +

                                                                          This module parses the output from samtools flagstat. All numbers in millions.

                                                                          +
                                                                          loading..
                                                                          +
                                                                          + +
                                                                          + + +
                                                                          + + + +
                                                                          + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_samtools_idxstats.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_samtools_idxstats.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4605 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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                                                                                Note that additional data was saved in multiqc_data when this report was generated.

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                                                                                If you use plots from MultiQC in a publication or presentation, please cite:

                                                                                +
                                                                                + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                                + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                                + Bioinformatics (2016)
                                                                                + doi: 10.1093/bioinformatics/btw354
                                                                                + PMID: 27312411 +
                                                                                +
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                                                                                +
                                                                                +
                                                                                + + +
                                                                                +

                                                                                About MultiQC

                                                                                +

                                                                                This report was generated using MultiQC, version 1.0

                                                                                +

                                                                                You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                                                +

                                                                                For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                                                +

                                                                                You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                                                +

                                                                                MultiQC is published in Bioinformatics:

                                                                                +
                                                                                + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                                + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                                + Bioinformatics (2016)
                                                                                + doi: 10.1093/bioinformatics/btw354
                                                                                + PMID: 27312411 +
                                                                                +
                                                                                + +
                                                                                + +
                                                                                + + + +
                                                                                + + + +

                                                                                + + + + +

                                                                                + + + +

                                                                                + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                                                + + + + + + +
                                                                                 Loading report..
                                                                                + +
                                                                                +

                                                                                Report generated on 2017-05-24, 21:47 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/34/working/multiqc_WDir + +

                                                                                + + + +
                                                                                + + + + + + + + + + + + +
                                                                                +

                                                                                Samtools

                                                                                +

                                                                                Samtools is a suite of programs for interacting with high-throughput sequencing data.

                                                                                + + +
                                                                                + +

                                                                                XY counts

                                                                                + +
                                                                                + + +
                                                                                +
                                                                                loading..
                                                                                +
                                                                                +
                                                                                +
                                                                                + + + +
                                                                                + +

                                                                                Mapped reads per contig

                                                                                + +

                                                                                The samtools idxstats tool counts the number of mapped reads per chromosome / contig. Chromosomes with < 0.1% of the total aligned reads are omitted from this plot.

                                                                                + + +
                                                                                + +
                                                                                loading..
                                                                                +
                                                                                + +
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                                                                                + + + +
                                                                                + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_tophat.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/report_tophat.html Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,4656 @@ + + + + + + + + + + + + +MultiQC Report + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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                                                                                      Download the raw data used to create the plots in this report below:

                                                                                      +
                                                                                      +
                                                                                      + +
                                                                                      +
                                                                                      + +
                                                                                      +
                                                                                      + +

                                                                                      Note that additional data was saved in multiqc_data when this report was generated.

                                                                                      + +
                                                                                      +
                                                                                      +
                                                                                      + +
                                                                                      +
                                                                                      Choose Plots
                                                                                      + + +
                                                                                      + +
                                                                                      + +

                                                                                      If you use plots from MultiQC in a publication or presentation, please cite:

                                                                                      +
                                                                                      + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                                      + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                                      + Bioinformatics (2016)
                                                                                      + doi: 10.1093/bioinformatics/btw354
                                                                                      + PMID: 27312411 +
                                                                                      +
                                                                                      +
                                                                                      + + +
                                                                                      +

                                                                                      Save Settings

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                                                                                      +
                                                                                      +
                                                                                      + +
                                                                                      +
                                                                                      + + +
                                                                                      +
                                                                                      +
                                                                                      + + +
                                                                                      +

                                                                                      About MultiQC

                                                                                      +

                                                                                      This report was generated using MultiQC, version 1.0

                                                                                      +

                                                                                      You can see a YouTube video describing how to use MultiQC reports here: + https://youtu.be/qPbIlO_KWN0

                                                                                      +

                                                                                      For more information about MultiQC, including other videos and + extensive documentation, please visit http://multiqc.info

                                                                                      +

                                                                                      You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: + https://github.com/ewels/MultiQC

                                                                                      +

                                                                                      MultiQC is published in Bioinformatics:

                                                                                      +
                                                                                      + MultiQC: Summarize analysis results for multiple tools and samples in a single report
                                                                                      + Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
                                                                                      + Bioinformatics (2016)
                                                                                      + doi: 10.1093/bioinformatics/btw354
                                                                                      + PMID: 27312411 +
                                                                                      +
                                                                                      + +
                                                                                      + +
                                                                                      + + + +
                                                                                      + + + +

                                                                                      + + + + +

                                                                                      + + + +

                                                                                      + A modular tool to aggregate results from bioinformatics analyses across many samples into a single report. +

                                                                                      + + + + + + +
                                                                                       Loading report..
                                                                                      + +
                                                                                      +

                                                                                      Report generated on 2017-05-24, 21:44 based on data in: + /tmp/tmpWNBij6/job_working_directory/000/9/working/multiqc_WDir + +

                                                                                      + + + +
                                                                                      + + + + + + + + +
                                                                                      +

                                                                                      General Statistics

                                                                                      + + + + + + Showing 1/1 rows and 2/2 columns. + +
                                                                                      +
                                                                                      + +
                                                                                      Sample Name% AlignedM Aligned
                                                                                      tophat_data
                                                                                      99.5%
                                                                                      0.3
                                                                                      + + +
                                                                                      + + + + + +
                                                                                      +

                                                                                      Tophat

                                                                                      +

                                                                                      Tophat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes.

                                                                                      + + +
                                                                                      + +
                                                                                      + + +
                                                                                      +
                                                                                      loading..
                                                                                      +
                                                                                      + +
                                                                                      + + +
                                                                                      + + + +
                                                                                      + + + + + + + + + + + + + + + + diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/rnastar_counts.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/rnastar_counts.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,5 @@ +N_unmapped 0 0 0 +N_multimapping 1 1 1 +N_noFeature 0 51 48 +N_ambiguous 0 0 0 +GENE1 99 48 51 diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/rnastar_log.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/rnastar_log.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,34 @@ + Started job on | Mar 01 15:53:05 + Started mapping on | Mar 01 15:53:08 + Finished on | Mar 01 15:53:08 + Mapping speed, Million of reads per hour | inf + + Number of input reads | 100 + Average input read length | 75 + UNIQUE READS: + Uniquely mapped reads number | 89 + Uniquely mapped reads % | 89.00% + Average mapped length | 74.80 + Number of splices: Total | 47 + Number of splices: Annotated (sjdb) | 0 + Number of splices: GT/AG | 47 + Number of splices: GC/AG | 0 + Number of splices: AT/AC | 0 + Number of splices: Non-canonical | 0 + Mismatch rate per base, % | 1.73% + Deletion rate per base | 0.00% + Deletion average length | 0.00 + Insertion rate per base | 0.00% + Insertion average length | 0.00 + MULTI-MAPPING READS: + Number of reads mapped to multiple loci | 1 + % of reads mapped to multiple loci | 1.00% + Number of reads mapped to too many loci | 0 + % of reads mapped to too many loci | 0.00% + UNMAPPED READS: + % of reads unmapped: too many mismatches | 0.00% + % of reads unmapped: too short | 10.00% + % of reads unmapped: other | 0.00% + CHIMERIC READS: + Number of chimeric reads | 0 + % of chimeric reads | 0.00% diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/samtools_flagstat.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/samtools_flagstat.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,13 @@ +21040602 + 0 in total (QC-passed reads + QC-failed reads) +0 + 0 secondary +0 + 0 supplementary +5448463 + 0 duplicates +20689039 + 0 mapped (98.33%:-nan%) +0 + 0 paired in sequencing +0 + 0 read1 +0 + 0 read2 +0 + 0 properly paired (-nan%:-nan%) +0 + 0 with itself and mate mapped +0 + 0 singletons (-nan%:-nan%) +0 + 0 with mate mapped to a different chr +0 + 0 with mate mapped to a different chr (mapQ>=5) diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/samtools_idxstats.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/samtools_idxstats.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,67 @@ +1 195471971 977171 0 +10 130694993 637405 0 +11 122082543 557954 0 +12 120129022 822778 0 +13 120421639 595176 0 +14 124902244 1179793 0 +15 104043685 474303 0 +16 98207768 450478 0 +17 94987271 442543 0 +18 90702639 423431 0 +19 61431566 269193 0 +2 182113224 2369317 0 +3 160039680 802543 0 +4 156508116 738160 0 +5 151834684 703632 0 +6 149736546 768256 0 +7 145441459 685296 0 +8 129401213 895718 0 +9 124595110 1144967 0 +MT 16299 141 0 +X 171031299 506800 0 +Y 91744698 132190 0 +JH584299.1 953012 2185 0 +GL456233.1 336933 1053 0 +JH584301.1 259875 303 0 +GL456211.1 241735 2348 0 +GL456350.1 227966 283 0 +JH584293.1 207968 236 0 +GL456221.1 206961 2196 0 +JH584297.1 205776 366 0 +JH584296.1 199368 368 0 +GL456354.1 195993 591 0 +JH584294.1 191905 313 0 +JH584298.1 184189 277 0 +JH584300.1 182347 230 0 +GL456219.1 175968 622 0 +GL456210.1 169725 1661 0 +JH584303.1 158099 214 0 +JH584302.1 155838 185 0 +GL456212.1 153618 1979 0 +JH584304.1 114452 278844 0 +GL456379.1 72385 210 0 +GL456216.1 66673 341 0 +GL456393.1 55711 629 0 +GL456366.1 47073 244 0 +GL456367.1 42057 245 0 +GL456239.1 40056 214 0 +GL456213.1 39340 99 0 +GL456383.1 38659 848 0 +GL456385.1 35240 155 0 +GL456360.1 31704 165 0 +GL456378.1 31602 444 0 +GL456389.1 28772 6166 0 +GL456372.1 28664 211 0 +GL456370.1 26764 502 0 +GL456381.1 25871 55 0 +GL456387.1 24685 156 0 +GL456390.1 24668 780 0 +GL456394.1 24323 114 0 +GL456392.1 23629 21116 0 +GL456382.1 23158 57 0 +GL456359.1 22974 85 0 +GL456396.1 21240 20375 0 +GL456368.1 20208 319 0 +JH584292.1 14945 85 0 +JH584295.1 1976 4 0 +* 0 0 274008 diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/samtools_stats.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/samtools_stats.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,9736 @@ +# This file was produced by samtools stats (1.2+htslib-1.2.1) and can be plotted using plot-bamstats +# The command line was: stats --coverage 1,1000,1 --GC-depth 20000.0 --insert-size 8000 --most-inserts 0.99 --trim-quality 0 --ref-seq /omaha-beach/cloud_26/files/000/dataset_20.dat /omaha-beach/cloud_26/files/000/dataset_114.dat +# CHK, Checksum [2]Read Names [3]Sequences [4]Qualities +# CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) +CHK 7742088d 2cf80e59 99341a6a +# Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. +SN raw total sequences: 641821 +SN filtered sequences: 0 +SN sequences: 641821 +SN is sorted: 1 +SN 1st fragments: 320981 +SN last fragments: 320840 +SN reads mapped: 641821 +SN reads mapped and paired: 638746 # paired-end technology bit set + both mates mapped +SN reads unmapped: 0 +SN reads properly paired: 635626 # proper-pair bit set +SN reads paired: 641821 # paired-end technology bit set +SN reads duplicated: 0 # PCR or optical duplicate bit set +SN reads MQ0: 70 # mapped and MQ=0 +SN reads QC failed: 0 +SN non-primary alignments: 12111 +SN total length: 64823921 # ignores clipping +SN bases mapped: 64823921 # ignores clipping +SN bases mapped (cigar): 64823921 # more accurate +SN bases trimmed: 0 +SN bases duplicated: 0 +SN mismatches: 275405 # from NM fields +SN error rate: 4.248509e-03 # mismatches / bases mapped (cigar) +SN average length: 101 +SN maximum length: 101 +SN average quality: 26.0 +SN insert size average: 719.7 +SN insert size standard deviation: 1223.0 +SN inward oriented pairs: 317512 +SN outward oriented pairs: 1294 +SN pairs with other orientation: 30 +SN pairs on different chromosomes: 0 +# First Fragment Qualitites. Use `grep ^FFQ | cut -f 2-` to extract this part. +# Columns correspond to qualities and rows to cycles. First column is the cycle number. +FFQ 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 113 0 0 0 0 320725 143 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 4 320810 71 91 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 320877 25 75 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 320905 26 44 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 8 320816 67 86 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 8 320839 42 84 5 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 6 320867 57 47 1 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 8 320845 59 64 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 2 320851 46 78 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 320836 57 77 3 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 7 320849 46 67 5 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 8 320812 80 78 2 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 9 320826 56 82 4 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 10 320774 77 107 7 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 7 320808 60 95 3 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 12 320786 68 101 6 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 8 320758 89 116 6 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 9 320768 86 106 6 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 12 320795 77 91 4 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 11 320739 99 110 14 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 16 320681 115 143 21 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 11 320699 111 144 11 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 0 0 0 14 320659 111 171 15 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 11 1 0 0 0 18 320626 139 165 20 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 13 320630 125 180 23 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 1 32 320502 176 228 32 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 0 0 0 25 320413 219 270 43 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 40 320323 222 317 74 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 14 0 0 0 0 33 320324 240 300 68 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 32 320438 208 249 47 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 2 0 0 0 30 320518 136 220 63 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 7 2 0 0 0 22 320539 158 199 52 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 10 3 0 0 0 31 320501 143 234 58 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 14 5 0 0 0 28 320475 168 216 73 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 14 2 0 0 2 14 320498 164 217 65 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 7 0 0 0 25 320419 210 229 82 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10 2 0 0 0 27 320497 146 216 79 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 15 2 0 0 0 35 320379 186 277 85 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 4 0 0 2 36 320412 186 271 58 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 8 4 0 0 0 31 320420 187 261 67 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 4 6 0 0 0 19 320375 205 268 92 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 9 2 0 0 0 34 320376 202 287 65 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 2 8 0 0 0 33 320367 206 289 68 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 4 13 0 0 2 41 320230 279 330 78 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 15 8 0 0 0 58 320276 209 341 68 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 13 8 0 0 0 53 320197 275 342 87 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 14 6 0 0 1 55 320225 219 388 67 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 11 9 0 0 0 53 320120 302 394 80 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 10 18 0 0 2 84 320118 260 419 63 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 10 12 0 0 0 60 319973 337 492 84 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 10 15 0 0 0 52 319932 333 537 90 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 5 18 0 0 0 61 319903 320 573 94 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 8 22 0 0 0 62 319897 359 544 78 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 14 25 0 0 0 89 319808 371 575 91 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 7 24 0 0 3 121 319810 320 633 57 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 4 42 0 0 0 66 319481 518 657 199 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 5 36 0 0 0 80 319309 575 777 183 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 7 40 0 0 0 79 319345 609 700 191 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 19 35 0 0 0 112 319419 487 785 110 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 9 54 0 0 0 88 319097 574 901 246 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 10 55 0 0 10 169 319174 475 997 74 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 7 75 0 0 0 111 318749 787 986 248 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 22 56 0 0 10 188 318870 589 1150 76 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 19 76 0 0 11 189 318737 648 1195 91 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 21 79 0 0 0 197 318550 705 1284 121 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 25 79 0 0 0 195 318333 783 1439 107 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 18 85 0 0 0 208 318101 829 1584 130 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 19 96 0 0 0 231 317865 961 1679 116 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 36 133 0 0 0 238 317621 994 1809 132 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 29 123 0 0 0 258 317369 1087 1947 143 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 32 0 123 0 0 109 316709 1180 1344 1464 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 35 0 133 0 0 125 316372 1317 1408 1576 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 0 34 138 0 0 7 406 316605 1310 2392 65 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 31 181 0 0 0 342 316340 1442 2510 108 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 36 187 0 0 8 395 316006 1568 2662 95 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 54 179 0 0 0 386 315780 1618 2865 77 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 46 206 0 0 11 436 315719 1579 2889 72 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 38 0 236 0 11 125 314395 1803 1935 2415 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 33 249 0 0 0 490 315017 1824 3294 60 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 42 285 0 0 8 548 314760 1875 3393 51 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 47 289 0 0 9 585 314291 2036 3653 55 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 2 46 359 0 0 14 604 313542 2274 4102 24 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 17 42 363 0 0 28 773 312837 2442 4461 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 61 357 0 0 22 706 312428 2610 4730 50 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 16 45 386 0 0 21 839 311516 2872 5269 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 27 57 431 0 0 31 937 310762 3053 5665 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 19 50 507 0 0 16 1056 309721 3328 6266 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 26 56 554 0 0 12 1030 309021 3568 6694 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 35 604 0 0 36 1137 308241 3708 7186 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 12 41 672 0 0 10 1127 307003 4124 7976 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 20 56 744 0 0 15 1358 305669 4425 8679 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 16 71 854 0 0 10 1290 304360 4896 9472 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 52 22 943 0 0 13 1582 302737 5311 10315 1 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 38 13 1011 0 0 13 1659 301116 5731 11394 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 95 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 48 1119 0 0 2 1835 299128 6219 12604 20 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 21 1338 0 0 0 1858 6469 296623 13924 730 12 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 8 1383 0 0 0 1987 6972 294224 15758 636 11 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 3 0 1574 0 0 6 2448 8066 291197 17253 422 6 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1610 2 0 0 2835 8983 8498 298741 142 169 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1699 0 0 0 3197 10141 285195 20749 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1758 0 0 0 3382 281089 11576 23176 0 0 0 0 0 0 0 0 0 0 0 0 0 +FFQ 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +# Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. +# Columns correspond to qualities and rows to cycles. First column is the cycle number. +LFQ 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 0 0 0 0 0 319823 972 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 15 0 0 0 5 320305 160 321 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 20 320305 132 370 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 6 0 0 17 320360 134 308 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 22 320335 165 301 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 20 320442 112 243 18 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 30 320503 109 179 9 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 7 320490 131 197 9 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 12 320539 123 159 2 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 1 0 0 0 39 320215 196 348 32 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 25 320265 187 327 23 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 36 320227 192 334 33 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 0 0 0 0 38 320161 240 349 38 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 2 0 0 0 41 320111 237 400 34 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 4 0 0 0 39 320085 261 392 48 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 34 320076 240 426 54 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 16 0 0 0 0 35 319993 298 427 68 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 14 1 0 0 0 42 319952 300 452 75 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 18 2 0 0 0 58 320012 286 377 83 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 5 0 0 0 52 319979 266 407 105 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 1 0 0 0 54 319959 299 411 96 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 5 0 0 1 51 319853 293 495 120 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 18 2 0 0 0 50 319892 295 436 143 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 5 0 0 0 47 320114 237 316 105 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 16 6 0 0 0 43 320038 226 401 109 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 25 3 0 0 0 37 320030 269 375 98 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 17 6 0 0 0 46 320071 254 344 98 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 10 5 0 0 0 30 320128 221 342 101 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 14 5 0 0 0 46 320016 258 387 108 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 19 14 0 0 4 68 319787 318 497 130 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 7 8 0 0 0 46 319976 278 397 123 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 15 7 0 0 1 51 319947 287 430 93 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 12 8 0 0 2 68 319889 291 486 76 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 1 8 13 0 0 3 72 319747 351 503 131 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 11 16 0 0 3 91 319807 302 533 74 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 14 12 0 0 4 101 319743 327 538 97 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 1 13 14 0 0 1 78 319747 337 546 90 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 7 12 0 0 0 75 319710 365 550 113 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 18 15 0 0 0 86 319656 366 578 109 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 2 22 0 0 1 77 319439 451 638 198 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 1 13 0 22 0 3 87 319532 327 590 253 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 14 28 0 0 0 114 319528 327 709 105 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 16 28 0 0 2 118 319515 341 724 82 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 15 31 0 0 0 76 319533 411 686 73 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 3 12 32 0 0 7 131 319452 389 735 69 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 12 32 0 0 0 103 319491 396 716 82 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 18 31 0 0 0 111 319284 502 801 81 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 9 61 0 0 0 70 318992 590 866 234 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 15 51 0 0 0 123 319167 473 919 79 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 14 42 0 0 0 147 318983 560 989 90 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 15 48 0 0 7 186 318820 580 1099 69 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 20 56 0 0 0 143 318718 602 1177 110 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 2 3 79 0 0 4 185 318381 755 1179 230 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 0 24 74 0 0 5 224 318275 723 1381 104 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 25 77 0 0 0 171 318184 802 1452 112 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 32 23 102 0 0 0 215 317842 881 1622 123 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 31 91 0 0 0 209 317749 900 1742 106 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 35 111 0 0 0 237 317543 965 1818 108 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 9 142 0 0 0 217 316914 1239 1936 363 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 24 130 0 0 0 321 317017 1154 2057 113 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 34 126 0 0 0 306 316905 1223 2124 96 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 31 154 0 0 0 318 316601 1277 2345 90 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 34 170 0 0 0 374 316178 1406 2546 114 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 33 157 0 0 0 399 315995 1484 2677 77 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 40 0 203 0 0 122 314680 1678 1928 2164 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 37 220 0 0 0 421 315186 1691 3158 101 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 44 232 0 0 0 500 314756 1810 3390 83 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 38 268 0 0 12 485 314348 2042 3541 81 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 40 323 0 0 12 582 313860 2068 3849 84 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 28 49 333 0 0 8 685 313142 2394 4103 98 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 3 54 371 0 0 23 729 312644 2505 4455 36 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 2 55 390 0 0 20 776 311868 2687 4972 49 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 53 64 441 0 0 21 837 311048 3011 5347 18 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 47 435 0 0 14 1018 310127 3319 5825 24 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 13 52 519 0 0 23 1054 309351 3540 6271 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 16 59 624 0 0 17 1089 308409 3668 6934 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 9 56 606 0 0 13 1206 307277 4043 7612 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 16 58 687 0 0 21 1265 306234 4400 8140 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 70 775 0 0 4 1284 305283 4424 8967 19 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 13 53 783 0 0 19 1478 303756 5133 9591 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 52 24 932 0 0 27 1532 302457 5466 10336 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 55 975 0 0 5 1597 300687 6045 11442 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 44 41 1139 0 0 16 1871 299027 6326 12349 20 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 30 45 1208 0 0 10 2042 297077 6923 13475 19 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 95 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 33 31 1338 0 0 13 2162 294534 7554 15153 16 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 27 1558 0 0 0 2210 7901 291792 16495 836 18 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 15 1627 0 0 0 2458 8586 288861 18599 681 10 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 1851 9 0 0 2912 9641 9013 296492 435 468 7 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1919 1 0 0 3335 11040 10164 294027 177 171 2 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2077 0 0 0 3829 12449 278167 24318 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2027 0 0 0 3852 274224 14024 26713 0 0 0 0 0 0 0 0 0 0 0 0 0 +LFQ 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +# Mismatches per cycle and quality. Use `grep ^MPC | cut -f 2-` to extract this part. +# Columns correspond to qualities, rows to cycles. First column is the cycle number, second +# is the number of N's and the rest is the number of mismatches +MPC 1 157 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98405 282 0 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 2 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 2 83677 42 82 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 6 82286 28 70 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 82418 21 68 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 7 81217 31 82 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 6 81340 32 62 5 0 0 0 0 0 0 0 0 0 0 0 +MPC 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 81247 27 39 2 0 0 0 0 0 0 0 0 0 0 0 +MPC 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 81087 40 50 3 0 0 0 0 0 0 0 0 0 0 0 +MPC 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 79830 37 46 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 6 81033 36 63 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 9 80885 35 70 8 0 0 0 0 0 0 0 0 0 0 0 +MPC 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 82102 55 54 2 0 0 0 0 0 0 0 0 0 0 0 +MPC 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 5 81994 46 69 2 0 0 0 0 0 0 0 0 0 0 0 +MPC 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 7 82435 51 74 7 0 0 0 0 0 0 0 0 0 0 0 +MPC 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 5 82095 38 96 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 11 82142 44 85 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 7 82554 45 91 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 8 82379 41 88 3 0 0 0 0 0 0 0 0 0 0 0 +MPC 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 8 81995 38 84 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 0 0 0 8 82708 44 126 11 0 0 0 0 0 0 0 0 0 0 0 +MPC 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 9 82903 57 103 6 0 0 0 0 0 0 0 0 0 0 0 +MPC 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 11 83189 44 109 5 0 0 0 0 0 0 0 0 0 0 0 +MPC 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 8 82967 56 110 16 0 0 0 0 0 0 0 0 0 0 0 +MPC 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 9 82668 59 137 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 6 83255 58 136 20 0 0 0 0 0 0 0 0 0 0 0 +MPC 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 10 83007 71 163 22 0 0 0 0 0 0 0 0 0 0 0 +MPC 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 11 82689 97 145 22 0 0 0 0 0 0 0 0 0 0 0 +MPC 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 13 83144 101 185 33 0 0 0 0 0 0 0 0 0 0 0 +MPC 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 28 84129 97 178 29 0 0 0 0 0 0 0 0 0 0 0 +MPC 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 10 83162 82 159 28 0 0 0 0 0 0 0 0 0 0 0 +MPC 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 20 83511 87 146 33 0 0 0 0 0 0 0 0 0 0 0 +MPC 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 1 13 83904 73 143 36 0 0 0 0 0 0 0 0 0 0 0 +MPC 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 12 83287 83 141 38 0 0 0 0 0 0 0 0 0 0 0 +MPC 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 2 0 0 0 6 84022 71 94 36 0 0 0 0 0 0 0 0 0 0 0 +MPC 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 3 0 0 1 9 83453 89 128 26 0 0 0 0 0 0 0 0 0 0 0 +MPC 36 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 2 0 0 0 13 83649 81 103 36 0 0 0 0 0 0 0 0 0 0 0 +MPC 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 10 83548 73 88 35 0 0 0 0 0 0 0 0 0 0 0 +MPC 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 12 84925 76 109 33 0 0 0 0 0 0 0 0 0 0 0 +MPC 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 9 0 0 0 1 12 83561 96 122 45 0 0 0 0 0 0 0 0 0 0 0 +MPC 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 7 4 0 0 1 20 84791 88 168 42 0 0 0 0 0 0 0 0 0 0 0 +MPC 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 2 0 0 0 14 84150 74 124 45 0 0 0 0 0 0 0 0 0 0 0 +MPC 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 2 0 0 0 13 83774 98 123 28 0 0 0 0 0 0 0 0 0 0 0 +MPC 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 4 2 0 0 2 28 83771 94 159 32 0 0 0 0 0 0 0 0 0 0 0 +MPC 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6 5 0 0 1 23 83722 104 175 39 0 0 0 0 0 0 0 0 0 0 0 +MPC 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 10 6 0 0 1 41 84261 93 160 25 0 0 0 0 0 0 0 0 0 0 0 +MPC 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 7 1 0 0 0 39 84627 104 160 42 0 0 0 0 0 0 0 0 0 0 0 +MPC 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 7 3 0 0 0 34 84297 101 169 36 0 0 0 0 0 0 0 0 0 0 0 +MPC 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 5 0 0 0 15 84963 121 171 48 0 0 0 0 0 0 0 0 0 0 0 +MPC 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 6 3 0 0 1 39 83942 137 169 32 0 0 0 0 0 0 0 0 0 0 0 +MPC 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 4 9 0 0 0 28 84075 143 194 66 0 0 0 0 0 0 0 0 0 0 0 +MPC 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 2 0 1 34 83331 123 177 64 0 0 0 0 0 0 0 0 0 0 0 +MPC 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 5 8 0 0 0 33 84009 111 218 49 0 0 0 0 0 0 0 0 0 0 0 +MPC 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 5 6 7 0 0 1 43 84258 125 209 35 0 0 0 0 0 0 0 0 0 0 0 +MPC 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 9 0 0 0 25 84920 133 194 29 0 0 0 0 0 0 0 0 0 0 0 +MPC 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 4 7 0 0 7 62 84793 109 211 26 0 0 0 0 0 0 0 0 0 0 0 +MPC 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 12 0 0 0 25 84246 173 244 47 0 0 0 0 0 0 0 0 0 0 0 +MPC 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 6 0 0 0 44 84546 193 256 53 0 0 0 0 0 0 0 0 0 0 0 +MPC 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 16 0 0 0 23 84043 200 294 57 0 0 0 0 0 0 0 0 0 0 0 +MPC 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10 7 0 0 0 46 85272 172 310 30 0 0 0 0 0 0 0 0 0 0 0 +MPC 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 12 0 0 0 45 84534 200 308 64 0 0 0 0 0 0 0 0 0 0 0 +MPC 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 7 6 0 0 5 90 84509 185 343 32 0 0 0 0 0 0 0 0 0 0 0 +MPC 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 15 0 0 0 37 84802 260 354 65 0 0 0 0 0 0 0 0 0 0 0 +MPC 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 5 11 0 0 3 86 84937 241 420 51 0 0 0 0 0 0 0 0 0 0 0 +MPC 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 9 9 0 0 7 84 84776 280 455 38 0 0 0 0 0 0 0 0 0 0 0 +MPC 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 6 14 0 0 0 65 83919 322 428 61 0 0 0 0 0 0 0 0 0 0 0 +MPC 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 12 19 0 0 0 58 84493 325 511 47 0 0 0 0 0 0 0 0 0 0 0 +MPC 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 7 23 0 0 0 58 84399 362 558 45 0 0 0 0 0 0 0 0 0 0 0 +MPC 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 10 16 0 0 0 68 83573 371 585 57 0 0 0 0 0 0 0 0 0 0 0 +MPC 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 7 43 0 0 0 85 84135 412 599 101 0 0 0 0 0 0 0 0 0 0 0 +MPC 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 6 36 0 0 0 89 84584 409 665 43 0 0 0 0 0 0 0 0 0 0 0 +MPC 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 15 15 10 0 0 60 84237 450 528 301 0 0 0 0 0 0 0 0 0 0 0 +MPC 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 8 17 16 0 0 75 82936 493 605 299 0 0 0 0 0 0 0 0 0 0 0 +MPC 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 4 17 44 0 0 2 157 84054 528 844 22 0 0 0 0 0 0 0 0 0 0 0 +MPC 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 12 54 0 0 0 96 83448 556 848 43 0 0 0 0 0 0 0 0 0 0 0 +MPC 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 8 31 33 0 1 97 83325 652 739 350 0 0 0 0 0 0 0 0 0 0 0 +MPC 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 19 34 0 0 0 130 82830 678 946 40 0 0 0 0 0 0 0 0 0 0 0 +MPC 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 13 41 0 0 0 143 82891 633 981 19 0 0 0 0 0 0 0 0 0 0 0 +MPC 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 13 43 27 0 2 100 82562 693 858 401 0 0 0 0 0 0 0 0 0 0 0 +MPC 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 16 82 0 0 3 163 82688 729 1061 25 0 0 0 0 0 0 0 0 0 0 0 +MPC 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 16 71 0 0 2 175 82962 828 1165 25 0 0 0 0 0 0 0 0 0 0 0 +MPC 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 3 17 74 0 0 8 231 82689 870 1289 15 0 0 0 0 0 0 0 0 0 0 0 +MPC 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 17 111 0 0 13 216 82308 966 1392 13 0 0 0 0 0 0 0 0 0 0 0 +MPC 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 4 25 99 0 0 9 267 81839 1044 1442 5 0 0 0 0 0 0 0 0 0 0 0 +MPC 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 20 85 0 0 1 232 81465 1231 1663 7 0 0 0 0 0 0 0 0 0 0 0 +MPC 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 4 17 99 0 0 10 268 81759 1291 1819 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 6 19 117 0 0 10 316 81327 1341 1988 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 3 19 117 0 0 4 349 81046 1483 2232 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 25 159 0 0 7 363 80978 1554 2285 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 4 25 182 0 0 9 338 80443 1644 2682 2 0 0 0 0 0 0 0 0 0 0 0 +MPC 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 2 17 214 0 0 4 430 79591 1772 2930 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 7 17 208 0 0 11 441 80129 1730 3233 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 5 17 211 0 0 3 446 78437 2002 3480 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 14 8 254 0 0 7 572 78615 1997 3749 3 0 0 0 0 0 0 0 0 0 0 0 +MPC 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 5 8 251 0 0 1 462 77866 2241 4048 6 0 0 0 0 0 0 0 0 0 0 0 +MPC 95 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 9 314 0 0 6 655 76430 2514 4695 7 0 0 0 0 0 0 0 0 0 0 0 +MPC 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 12 391 0 0 0 566 2098 76969 5222 211 4 0 0 0 0 0 0 0 0 0 0 0 +MPC 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 401 0 0 0 614 2396 75564 5776 229 6 0 0 0 0 0 0 0 0 0 0 0 +MPC 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 271 219 0 0 406 1727 2800 77304 3035 141 1 0 0 0 0 0 0 0 0 0 0 0 +MPC 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 504 0 0 0 928 2885 3413 78669 64 44 1 0 0 0 0 0 0 0 0 0 0 0 +MPC 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 536 0 0 0 979 3339 73408 7776 0 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 728 0 0 0 1072 73777 4856 10378 0 0 0 0 0 0 0 0 0 0 0 0 +MPC 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 +# GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. +GCF 7.29 0 +GCF 15.08 2 +GCF 16.08 3 +GCF 17.09 7 +GCF 18.59 17 +GCF 20.10 33 +GCF 21.11 42 +GCF 22.11 52 +GCF 23.12 114 +GCF 24.12 164 +GCF 25.13 326 +GCF 26.13 507 +GCF 27.14 691 +GCF 28.14 899 +GCF 29.15 1591 +GCF 30.15 1949 +GCF 31.16 2308 +GCF 32.16 2736 +GCF 32.91 3088 +GCF 33.67 3685 +GCF 34.67 4605 +GCF 35.68 5091 +GCF 36.68 6131 +GCF 37.69 6883 +GCF 38.69 7964 +GCF 39.70 8636 +GCF 40.70 10761 +GCF 41.71 12194 +GCF 42.71 12911 +GCF 43.72 13386 +GCF 44.72 13260 +GCF 45.73 13698 +GCF 46.73 13439 +GCF 47.74 15308 +GCF 48.74 14928 +GCF 49.75 14412 +GCF 50.75 13332 +GCF 51.76 12903 +GCF 52.76 11945 +GCF 53.77 12084 +GCF 54.77 11708 +GCF 55.78 9649 +GCF 56.78 9361 +GCF 57.79 8367 +GCF 58.79 6859 +GCF 59.80 5753 +GCF 60.80 4662 +GCF 61.81 4213 +GCF 62.81 3894 +GCF 63.82 3063 +GCF 64.82 2456 +GCF 65.83 1920 +GCF 66.58 1398 +GCF 67.34 1419 +GCF 68.34 1253 +GCF 69.35 963 +GCF 70.35 713 +GCF 71.36 414 +GCF 72.36 265 +GCF 73.37 187 +GCF 74.37 115 +GCF 75.38 74 +GCF 76.38 50 +GCF 77.39 32 +GCF 78.39 23 +GCF 79.90 14 +GCF 81.41 19 +GCF 82.41 13 +GCF 83.42 5 +GCF 84.42 2 +GCF 85.43 1 +# GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. +GCL 6.78 0 +GCL 14.57 1 +GCL 16.08 3 +GCL 17.09 4 +GCL 18.09 7 +GCL 19.10 14 +GCL 20.10 31 +GCL 21.11 43 +GCL 22.11 65 +GCL 23.12 110 +GCL 24.12 186 +GCL 25.13 318 +GCL 26.13 565 +GCL 27.14 698 +GCL 28.14 919 +GCL 29.15 1512 +GCL 30.15 1962 +GCL 31.16 2348 +GCL 32.16 2693 +GCL 32.91 3148 +GCL 33.67 3657 +GCL 34.67 4472 +GCL 35.68 5072 +GCL 36.68 5943 +GCL 37.69 6932 +GCL 38.69 7875 +GCL 39.70 8778 +GCL 40.70 10644 +GCL 41.71 11773 +GCL 42.71 12979 +GCL 43.72 13566 +GCL 44.72 13217 +GCL 45.73 13362 +GCL 46.73 13338 +GCL 47.74 15116 +GCL 48.74 14791 +GCL 49.75 14361 +GCL 50.75 13389 +GCL 51.76 12939 +GCL 52.76 12428 +GCL 53.77 12023 +GCL 54.77 11736 +GCL 55.78 9713 +GCL 56.78 9335 +GCL 57.79 8514 +GCL 58.79 6846 +GCL 59.80 5874 +GCL 60.80 4865 +GCL 61.81 4274 +GCL 62.81 3973 +GCL 63.82 3008 +GCL 64.82 2400 +GCL 65.83 1929 +GCL 66.58 1438 +GCL 67.34 1428 +GCL 68.34 1299 +GCL 69.35 988 +GCL 70.35 739 +GCL 71.36 392 +GCL 72.36 258 +GCL 73.37 156 +GCL 74.37 118 +GCL 75.38 81 +GCL 76.38 51 +GCL 77.39 28 +GCL 78.39 32 +GCL 79.40 25 +GCL 80.40 21 +GCL 81.41 12 +GCL 82.41 14 +GCL 83.92 4 +GCL 85.43 2 +# ACGT content per cycle. Use `grep ^GCC | cut -f 2-` to extract this part. The columns are: cycle, and A,C,G,T counts [%] +GCC 1 12.32 37.19 37.45 13.05 +GCC 2 30.22 19.07 19.01 31.70 +GCC 3 23.59 25.79 25.71 24.90 +GCC 4 24.89 24.36 24.80 25.95 +GCC 5 26.37 23.14 23.40 27.09 +GCC 6 27.80 21.60 21.70 28.90 +GCC 7 27.71 21.52 21.77 29.00 +GCC 8 25.01 24.21 24.68 26.10 +GCC 9 25.54 23.74 23.93 26.79 +GCC 10 27.83 21.53 21.61 29.03 +GCC 11 22.59 26.73 26.96 23.72 +GCC 12 24.80 24.68 24.80 25.72 +GCC 13 26.25 23.19 22.90 27.66 +GCC 14 25.68 23.77 23.72 26.83 +GCC 15 25.57 23.95 23.87 26.61 +GCC 16 25.07 24.41 24.49 26.03 +GCC 17 25.26 24.27 24.24 26.23 +GCC 18 25.39 24.07 23.99 26.55 +GCC 19 25.14 24.57 24.36 25.93 +GCC 20 25.54 23.86 23.89 26.71 +GCC 21 25.45 23.91 24.04 26.60 +GCC 22 25.38 23.88 24.40 26.34 +GCC 23 25.68 23.61 24.05 26.65 +GCC 24 25.78 23.77 23.42 27.03 +GCC 25 25.33 24.02 24.16 26.49 +GCC 26 25.76 23.85 23.76 26.63 +GCC 27 25.79 23.86 23.85 26.50 +GCC 28 25.39 24.28 24.11 26.23 +GCC 29 25.76 24.03 23.60 26.62 +GCC 30 25.85 23.95 23.84 26.35 +GCC 31 25.55 24.04 24.10 26.31 +GCC 32 25.91 23.72 23.70 26.66 +GCC 33 25.71 23.88 23.80 26.62 +GCC 34 25.47 24.24 24.41 25.87 +GCC 35 25.73 23.66 23.83 26.78 +GCC 36 25.56 23.78 23.97 26.69 +GCC 37 25.71 24.17 23.94 26.18 +GCC 38 25.76 23.66 23.92 26.66 +GCC 39 25.66 23.95 23.94 26.45 +GCC 40 25.54 24.12 24.01 26.33 +GCC 41 25.47 23.92 23.71 26.90 +GCC 42 25.78 23.69 23.74 26.79 +GCC 43 25.41 24.09 24.14 26.36 +GCC 44 25.94 23.70 23.59 26.77 +GCC 45 25.84 23.84 23.78 26.54 +GCC 46 25.47 24.14 24.07 26.32 +GCC 47 25.69 23.93 23.94 26.44 +GCC 48 25.71 24.00 23.78 26.51 +GCC 49 25.25 23.94 24.25 26.57 +GCC 50 25.78 23.80 23.68 26.74 +GCC 51 25.46 23.99 23.90 26.66 +GCC 52 25.32 23.97 24.09 26.62 +GCC 53 25.76 23.74 23.72 26.79 +GCC 54 25.69 23.87 23.88 26.55 +GCC 55 25.34 24.00 24.22 26.44 +GCC 56 25.68 23.94 23.77 26.61 +GCC 57 25.68 23.82 23.92 26.57 +GCC 58 25.74 23.69 24.16 26.41 +GCC 59 25.69 23.87 23.83 26.61 +GCC 60 25.83 23.70 23.85 26.63 +GCC 61 25.57 23.87 24.19 26.37 +GCC 62 25.87 23.75 23.88 26.51 +GCC 63 26.09 23.89 23.56 26.46 +GCC 64 25.68 24.31 23.96 26.06 +GCC 65 25.74 24.02 23.86 26.38 +GCC 66 25.73 23.92 23.70 26.65 +GCC 67 25.44 24.05 24.26 26.26 +GCC 68 25.76 23.92 23.83 26.49 +GCC 69 25.58 23.96 23.74 26.72 +GCC 70 25.91 23.86 24.02 26.21 +GCC 71 25.93 23.70 23.76 26.61 +GCC 72 25.95 23.42 23.76 26.87 +GCC 73 25.36 24.10 24.11 26.42 +GCC 74 25.91 23.79 23.67 26.64 +GCC 75 25.67 23.81 23.92 26.59 +GCC 76 25.79 23.88 24.29 26.05 +GCC 77 25.80 23.81 23.66 26.74 +GCC 78 26.11 23.71 23.57 26.61 +GCC 79 25.69 24.25 23.89 26.17 +GCC 80 25.79 23.81 23.80 26.60 +GCC 81 25.91 23.89 23.56 26.64 +GCC 82 25.47 23.98 23.96 26.59 +GCC 83 25.76 23.85 23.90 26.49 +GCC 84 26.10 23.65 23.62 26.63 +GCC 85 25.35 24.06 24.19 26.39 +GCC 86 26.07 23.85 23.69 26.39 +GCC 87 26.02 23.96 23.45 26.57 +GCC 88 25.63 24.31 23.85 26.20 +GCC 89 25.89 23.88 23.55 26.69 +GCC 90 25.81 24.05 23.77 26.37 +GCC 91 25.36 24.23 24.29 26.12 +GCC 92 25.90 23.55 23.90 26.65 +GCC 93 25.85 23.76 23.75 26.65 +GCC 94 25.50 24.35 24.15 26.00 +GCC 95 25.77 23.83 23.88 26.52 +GCC 96 25.71 23.78 23.88 26.62 +GCC 97 25.67 24.09 24.05 26.19 +GCC 98 25.81 23.71 23.97 26.51 +GCC 99 25.43 23.88 24.11 26.58 +GCC 100 25.46 23.99 24.27 26.28 +GCC 101 25.52 24.12 24.24 26.11 +# Insert sizes. Use `grep ^IS | cut -f 2-` to extract this part. The columns are: insert size, pairs total, inward oriented pairs, outward oriented pairs, other pairs +IS 0 0 0 0 0 +IS 1 0 0 0 0 +IS 2 0 0 0 0 +IS 3 0 0 0 0 +IS 4 0 0 0 0 +IS 5 0 0 0 0 +IS 6 0 0 0 0 +IS 7 0 0 0 0 +IS 8 0 0 0 0 +IS 9 0 0 0 0 +IS 10 0 0 0 0 +IS 11 0 0 0 0 +IS 12 0 0 0 0 +IS 13 0 0 0 0 +IS 14 0 0 0 0 +IS 15 0 0 0 0 +IS 16 0 0 0 0 +IS 17 0 0 0 0 +IS 18 0 0 0 0 +IS 19 0 0 0 0 +IS 20 0 0 0 0 +IS 21 0 0 0 0 +IS 22 0 0 0 0 +IS 23 0 0 0 0 +IS 24 0 0 0 0 +IS 25 0 0 0 0 +IS 26 0 0 0 0 +IS 27 0 0 0 0 +IS 28 0 0 0 0 +IS 29 0 0 0 0 +IS 30 0 0 0 0 +IS 31 0 0 0 0 +IS 32 0 0 0 0 +IS 33 0 0 0 0 +IS 34 0 0 0 0 +IS 35 0 0 0 0 +IS 36 0 0 0 0 +IS 37 0 0 0 0 +IS 38 0 0 0 0 +IS 39 0 0 0 0 +IS 40 0 0 0 0 +IS 41 0 0 0 0 +IS 42 0 0 0 0 +IS 43 0 0 0 0 +IS 44 0 0 0 0 +IS 45 0 0 0 0 +IS 46 0 0 0 0 +IS 47 0 0 0 0 +IS 48 0 0 0 0 +IS 49 0 0 0 0 +IS 50 0 0 0 0 +IS 51 0 0 0 0 +IS 52 0 0 0 0 +IS 53 0 0 0 0 +IS 54 0 0 0 0 +IS 55 0 0 0 0 +IS 56 0 0 0 0 +IS 57 0 0 0 0 +IS 58 0 0 0 0 +IS 59 0 0 0 0 +IS 60 0 0 0 0 +IS 61 0 0 0 0 +IS 62 0 0 0 0 +IS 63 0 0 0 0 +IS 64 0 0 0 0 +IS 65 0 0 0 0 +IS 66 0 0 0 0 +IS 67 0 0 0 0 +IS 68 0 0 0 0 +IS 69 0 0 0 0 +IS 70 0 0 0 0 +IS 71 0 0 0 0 +IS 72 0 0 0 0 +IS 73 0 0 0 0 +IS 74 0 0 0 0 +IS 75 0 0 0 0 +IS 76 0 0 0 0 +IS 77 0 0 0 0 +IS 78 0 0 0 0 +IS 79 0 0 0 0 +IS 80 0 0 0 0 +IS 81 0 0 0 0 +IS 82 0 0 0 0 +IS 83 0 0 0 0 +IS 84 0 0 0 0 +IS 85 0 0 0 0 +IS 86 0 0 0 0 +IS 87 0 0 0 0 +IS 88 0 0 0 0 +IS 89 0 0 0 0 +IS 90 0 0 0 0 +IS 91 0 0 0 0 +IS 92 0 0 0 0 +IS 93 0 0 0 0 +IS 94 0 0 0 0 +IS 95 0 0 0 0 +IS 96 0 0 0 0 +IS 97 0 0 0 0 +IS 98 0 0 0 0 +IS 99 0 0 0 0 +IS 100 0 0 0 0 +IS 101 5 4 1 0 +IS 102 537 308 229 0 +IS 103 481 296 185 0 +IS 104 401 345 56 0 +IS 105 348 332 16 0 +IS 106 367 358 9 0 +IS 107 346 346 0 0 +IS 108 356 356 0 0 +IS 109 391 391 0 0 +IS 110 349 349 0 0 +IS 111 368 368 0 0 +IS 112 452 452 0 0 +IS 113 461 461 0 0 +IS 114 474 474 0 0 +IS 115 515 515 0 0 +IS 116 481 481 0 0 +IS 117 521 521 0 0 +IS 118 561 561 0 0 +IS 119 601 601 0 0 +IS 120 605 605 0 0 +IS 121 605 605 0 0 +IS 122 702 702 0 0 +IS 123 707 707 0 0 +IS 124 658 658 0 0 +IS 125 755 755 0 0 +IS 126 738 738 0 0 +IS 127 761 761 0 0 +IS 128 828 828 0 0 +IS 129 884 884 0 0 +IS 130 929 929 0 0 +IS 131 935 935 0 0 +IS 132 957 957 0 0 +IS 133 1008 1008 0 0 +IS 134 1091 1091 0 0 +IS 135 1138 1138 0 0 +IS 136 1183 1183 0 0 +IS 137 1285 1285 0 0 +IS 138 1387 1387 0 0 +IS 139 1430 1430 0 0 +IS 140 1500 1500 0 0 +IS 141 1630 1630 0 0 +IS 142 1701 1701 0 0 +IS 143 1848 1848 0 0 +IS 144 1908 1908 0 0 +IS 145 1969 1969 0 0 +IS 146 2217 2217 0 0 +IS 147 2223 2223 0 0 +IS 148 2284 2284 0 0 +IS 149 2464 2464 0 0 +IS 150 2580 2580 0 0 +IS 151 2545 2545 0 0 +IS 152 2644 2644 0 0 +IS 153 2605 2605 0 0 +IS 154 2592 2592 0 0 +IS 155 2759 2759 0 0 +IS 156 2770 2770 0 0 +IS 157 2732 2732 0 0 +IS 158 2781 2781 0 0 +IS 159 2796 2796 0 0 +IS 160 2897 2897 0 0 +IS 161 2839 2839 0 0 +IS 162 2795 2795 0 0 +IS 163 2726 2726 0 0 +IS 164 2790 2790 0 0 +IS 165 2868 2868 0 0 +IS 166 2815 2815 0 0 +IS 167 2874 2874 0 0 +IS 168 2908 2908 0 0 +IS 169 2826 2826 0 0 +IS 170 2856 2856 0 0 +IS 171 2827 2827 0 0 +IS 172 2857 2857 0 0 +IS 173 2864 2863 0 1 +IS 174 2785 2785 0 0 +IS 175 2695 2695 0 0 +IS 176 2713 2713 0 0 +IS 177 2594 2594 0 0 +IS 178 2525 2525 0 0 +IS 179 2584 2584 0 0 +IS 180 2505 2505 0 0 +IS 181 2379 2378 1 0 +IS 182 2330 2330 0 0 +IS 183 2195 2195 0 0 +IS 184 2121 2121 0 0 +IS 185 2002 2001 0 1 +IS 186 1921 1921 0 0 +IS 187 1839 1839 0 0 +IS 188 1891 1891 0 0 +IS 189 1711 1711 0 0 +IS 190 1618 1618 0 0 +IS 191 1489 1489 0 0 +IS 192 1489 1489 0 0 +IS 193 1363 1363 0 0 +IS 194 1295 1295 0 0 +IS 195 1181 1181 0 0 +IS 196 1156 1154 2 0 +IS 197 1020 1018 2 0 +IS 198 982 981 1 0 +IS 199 901 893 8 0 +IS 200 817 816 1 0 +IS 201 720 717 3 0 +IS 202 703 703 0 0 +IS 203 617 617 0 0 +IS 204 508 508 0 0 +IS 205 503 503 0 0 +IS 206 429 429 0 0 +IS 207 379 379 0 0 +IS 208 352 349 3 0 +IS 209 304 304 0 0 +IS 210 288 288 0 0 +IS 211 182 182 0 0 +IS 212 205 204 1 0 +IS 213 178 178 0 0 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0 0 +IS 7412 0 0 0 0 +IS 7413 0 0 0 0 +IS 7414 2 2 0 0 +IS 7415 0 0 0 0 +IS 7416 1 1 0 0 +IS 7417 0 0 0 0 +IS 7418 0 0 0 0 +IS 7419 1 1 0 0 +IS 7420 0 0 0 0 +IS 7421 0 0 0 0 +IS 7422 0 0 0 0 +IS 7423 0 0 0 0 +IS 7424 1 1 0 0 +IS 7425 0 0 0 0 +IS 7426 1 1 0 0 +IS 7427 2 2 0 0 +IS 7428 0 0 0 0 +IS 7429 2 2 0 0 +IS 7430 1 1 0 0 +IS 7431 0 0 0 0 +IS 7432 0 0 0 0 +IS 7433 1 1 0 0 +IS 7434 0 0 0 0 +IS 7435 0 0 0 0 +IS 7436 0 0 0 0 +IS 7437 0 0 0 0 +IS 7438 0 0 0 0 +IS 7439 0 0 0 0 +IS 7440 0 0 0 0 +IS 7441 0 0 0 0 +IS 7442 0 0 0 0 +IS 7443 1 1 0 0 +IS 7444 0 0 0 0 +IS 7445 0 0 0 0 +IS 7446 0 0 0 0 +IS 7447 1 1 0 0 +IS 7448 0 0 0 0 +IS 7449 0 0 0 0 +IS 7450 0 0 0 0 +IS 7451 1 1 0 0 +IS 7452 1 1 0 0 +IS 7453 0 0 0 0 +IS 7454 1 1 0 0 +IS 7455 0 0 0 0 +IS 7456 0 0 0 0 +IS 7457 1 1 0 0 +IS 7458 1 1 0 0 +IS 7459 0 0 0 0 +IS 7460 0 0 0 0 +IS 7461 0 0 0 0 +IS 7462 0 0 0 0 +IS 7463 0 0 0 0 +IS 7464 0 0 0 0 +IS 7465 0 0 0 0 +IS 7466 1 1 0 0 +IS 7467 1 1 0 0 +IS 7468 0 0 0 0 +IS 7469 0 0 0 0 +IS 7470 2 2 0 0 +IS 7471 0 0 0 0 +IS 7472 1 1 0 0 +IS 7473 1 1 0 0 +IS 7474 1 1 0 0 +IS 7475 1 1 0 0 +IS 7476 2 2 0 0 +IS 7477 0 0 0 0 +IS 7478 2 2 0 0 +IS 7479 0 0 0 0 +IS 7480 1 1 0 0 +IS 7481 1 1 0 0 +IS 7482 1 1 0 0 +IS 7483 1 1 0 0 +IS 7484 0 0 0 0 +IS 7485 2 2 0 0 +IS 7486 0 0 0 0 +IS 7487 2 2 0 0 +IS 7488 3 3 0 0 +IS 7489 0 0 0 0 +IS 7490 1 1 0 0 +IS 7491 2 2 0 0 +IS 7492 2 2 0 0 +IS 7493 0 0 0 0 +IS 7494 2 2 0 0 +IS 7495 4 4 0 0 +IS 7496 3 3 0 0 +IS 7497 0 0 0 0 +IS 7498 0 0 0 0 +IS 7499 1 1 0 0 +IS 7500 2 2 0 0 +IS 7501 1 1 0 0 +IS 7502 4 4 0 0 +IS 7503 1 1 0 0 +IS 7504 3 3 0 0 +IS 7505 1 1 0 0 +IS 7506 6 6 0 0 +IS 7507 1 1 0 0 +IS 7508 9 9 0 0 +IS 7509 1 1 0 0 +IS 7510 4 4 0 0 +IS 7511 6 6 0 0 +IS 7512 6 6 0 0 +IS 7513 3 3 0 0 +IS 7514 3 3 0 0 +IS 7515 6 6 0 0 +IS 7516 7 7 0 0 +IS 7517 7 7 0 0 +IS 7518 3 3 0 0 +IS 7519 7 7 0 0 +IS 7520 12 12 0 0 +IS 7521 5 5 0 0 +IS 7522 10 10 0 0 +IS 7523 7 7 0 0 +IS 7524 8 8 0 0 +IS 7525 6 6 0 0 +IS 7526 6 6 0 0 +IS 7527 6 6 0 0 +IS 7528 5 5 0 0 +IS 7529 8 8 0 0 +IS 7530 5 5 0 0 +IS 7531 9 9 0 0 +IS 7532 10 10 0 0 +IS 7533 9 9 0 0 +IS 7534 4 4 0 0 +IS 7535 3 3 0 0 +IS 7536 8 8 0 0 +IS 7537 9 9 0 0 +IS 7538 10 10 0 0 +IS 7539 12 12 0 0 +IS 7540 10 10 0 0 +IS 7541 8 8 0 0 +IS 7542 7 7 0 0 +IS 7543 14 14 0 0 +IS 7544 6 6 0 0 +IS 7545 7 7 0 0 +IS 7546 9 9 0 0 +IS 7547 9 9 0 0 +IS 7548 10 10 0 0 +IS 7549 13 13 0 0 +IS 7550 7 7 0 0 +IS 7551 9 9 0 0 +IS 7552 6 6 0 0 +IS 7553 4 4 0 0 +IS 7554 3 3 0 0 +IS 7555 4 4 0 0 +IS 7556 7 7 0 0 +IS 7557 4 4 0 0 +IS 7558 8 8 0 0 +IS 7559 4 4 0 0 +IS 7560 9 9 0 0 +IS 7561 6 6 0 0 +IS 7562 2 2 0 0 +IS 7563 3 3 0 0 +IS 7564 2 2 0 0 +IS 7565 3 3 0 0 +IS 7566 3 3 0 0 +IS 7567 4 4 0 0 +IS 7568 4 4 0 0 +IS 7569 2 2 0 0 +IS 7570 0 0 0 0 +IS 7571 2 2 0 0 +IS 7572 1 1 0 0 +IS 7573 4 4 0 0 +IS 7574 2 2 0 0 +IS 7575 1 1 0 0 +IS 7576 2 2 0 0 +IS 7577 1 1 0 0 +IS 7578 0 0 0 0 +IS 7579 0 0 0 0 +IS 7580 0 0 0 0 +IS 7581 2 2 0 0 +IS 7582 0 0 0 0 +IS 7583 1 1 0 0 +IS 7584 0 0 0 0 +IS 7585 0 0 0 0 +IS 7586 2 2 0 0 +IS 7587 0 0 0 0 +IS 7588 0 0 0 0 +IS 7589 2 2 0 0 +IS 7590 0 0 0 0 +IS 7591 0 0 0 0 +IS 7592 0 0 0 0 +IS 7593 2 2 0 0 +IS 7594 0 0 0 0 +IS 7595 1 1 0 0 +IS 7596 0 0 0 0 +IS 7597 0 0 0 0 +IS 7598 2 2 0 0 +IS 7599 0 0 0 0 +IS 7600 0 0 0 0 +IS 7601 2 2 0 0 +IS 7602 0 0 0 0 +IS 7603 0 0 0 0 +IS 7604 0 0 0 0 +IS 7605 0 0 0 0 +IS 7606 2 2 0 0 +IS 7607 0 0 0 0 +IS 7608 0 0 0 0 +IS 7609 1 1 0 0 +IS 7610 0 0 0 0 +IS 7611 2 2 0 0 +IS 7612 0 0 0 0 +IS 7613 0 0 0 0 +IS 7614 0 0 0 0 +IS 7615 1 1 0 0 +IS 7616 0 0 0 0 +IS 7617 0 0 0 0 +IS 7618 0 0 0 0 +IS 7619 1 1 0 0 +IS 7620 0 0 0 0 +IS 7621 1 1 0 0 +IS 7622 1 1 0 0 +IS 7623 0 0 0 0 +IS 7624 2 2 0 0 +IS 7625 0 0 0 0 +IS 7626 0 0 0 0 +IS 7627 1 1 0 0 +IS 7628 1 1 0 0 +IS 7629 0 0 0 0 +IS 7630 1 1 0 0 +IS 7631 0 0 0 0 +IS 7632 0 0 0 0 +IS 7633 0 0 0 0 +IS 7634 0 0 0 0 +IS 7635 0 0 0 0 +IS 7636 0 0 0 0 +IS 7637 0 0 0 0 +IS 7638 0 0 0 0 +IS 7639 0 0 0 0 +IS 7640 0 0 0 0 +IS 7641 0 0 0 0 +IS 7642 0 0 0 0 +IS 7643 0 0 0 0 +IS 7644 0 0 0 0 +IS 7645 0 0 0 0 +IS 7646 0 0 0 0 +IS 7647 0 0 0 0 +IS 7648 0 0 0 0 +IS 7649 0 0 0 0 +IS 7650 0 0 0 0 +IS 7651 0 0 0 0 +IS 7652 0 0 0 0 +IS 7653 0 0 0 0 +IS 7654 0 0 0 0 +IS 7655 0 0 0 0 +IS 7656 0 0 0 0 +IS 7657 1 1 0 0 +IS 7658 1 1 0 0 +IS 7659 0 0 0 0 +IS 7660 0 0 0 0 +IS 7661 2 2 0 0 +IS 7662 0 0 0 0 +IS 7663 0 0 0 0 +IS 7664 0 0 0 0 +IS 7665 0 0 0 0 +IS 7666 0 0 0 0 +IS 7667 0 0 0 0 +IS 7668 0 0 0 0 +IS 7669 0 0 0 0 +IS 7670 0 0 0 0 +IS 7671 0 0 0 0 +IS 7672 0 0 0 0 +IS 7673 0 0 0 0 +IS 7674 0 0 0 0 +IS 7675 0 0 0 0 +IS 7676 1 1 0 0 +IS 7677 0 0 0 0 +IS 7678 0 0 0 0 +IS 7679 0 0 0 0 +IS 7680 0 0 0 0 +IS 7681 0 0 0 0 +IS 7682 0 0 0 0 +IS 7683 0 0 0 0 +IS 7684 0 0 0 0 +IS 7685 0 0 0 0 +IS 7686 0 0 0 0 +IS 7687 0 0 0 0 +IS 7688 1 1 0 0 +IS 7689 0 0 0 0 +IS 7690 0 0 0 0 +IS 7691 0 0 0 0 +IS 7692 0 0 0 0 +IS 7693 0 0 0 0 +IS 7694 0 0 0 0 +IS 7695 0 0 0 0 +IS 7696 1 1 0 0 +IS 7697 1 1 0 0 +IS 7698 0 0 0 0 +IS 7699 0 0 0 0 +IS 7700 1 1 0 0 +IS 7701 1 1 0 0 +IS 7702 1 1 0 0 +IS 7703 0 0 0 0 +IS 7704 0 0 0 0 +IS 7705 0 0 0 0 +IS 7706 0 0 0 0 +IS 7707 0 0 0 0 +IS 7708 0 0 0 0 +IS 7709 0 0 0 0 +IS 7710 0 0 0 0 +IS 7711 0 0 0 0 +IS 7712 0 0 0 0 +IS 7713 0 0 0 0 +IS 7714 0 0 0 0 +IS 7715 0 0 0 0 +IS 7716 0 0 0 0 +IS 7717 0 0 0 0 +IS 7718 0 0 0 0 +IS 7719 0 0 0 0 +IS 7720 0 0 0 0 +IS 7721 0 0 0 0 +IS 7722 0 0 0 0 +IS 7723 0 0 0 0 +IS 7724 0 0 0 0 +IS 7725 0 0 0 0 +IS 7726 0 0 0 0 +IS 7727 0 0 0 0 +IS 7728 0 0 0 0 +IS 7729 0 0 0 0 +IS 7730 0 0 0 0 +IS 7731 0 0 0 0 +IS 7732 0 0 0 0 +IS 7733 0 0 0 0 +IS 7734 0 0 0 0 +IS 7735 0 0 0 0 +IS 7736 0 0 0 0 +IS 7737 0 0 0 0 +IS 7738 0 0 0 0 +IS 7739 0 0 0 0 +IS 7740 2 1 1 0 +IS 7741 1 0 1 0 +IS 7742 4 4 0 0 +IS 7743 0 0 0 0 +IS 7744 2 2 0 0 +IS 7745 1 1 0 0 +IS 7746 0 0 0 0 +IS 7747 1 1 0 0 +IS 7748 2 2 0 0 +IS 7749 0 0 0 0 +IS 7750 1 1 0 0 +IS 7751 0 0 0 0 +IS 7752 1 1 0 0 +IS 7753 1 1 0 0 +IS 7754 0 0 0 0 +IS 7755 1 1 0 0 +IS 7756 1 1 0 0 +IS 7757 3 3 0 0 +IS 7758 1 1 0 0 +IS 7759 1 1 0 0 +IS 7760 2 2 0 0 +IS 7761 0 0 0 0 +IS 7762 3 3 0 0 +IS 7763 1 1 0 0 +IS 7764 3 3 0 0 +IS 7765 3 3 0 0 +IS 7766 2 2 0 0 +IS 7767 3 3 0 0 +IS 7768 1 1 0 0 +IS 7769 4 4 0 0 +IS 7770 2 2 0 0 +IS 7771 2 2 0 0 +IS 7772 3 3 0 0 +IS 7773 4 4 0 0 +IS 7774 4 4 0 0 +IS 7775 1 1 0 0 +IS 7776 3 3 0 0 +IS 7777 4 4 0 0 +IS 7778 3 3 0 0 +IS 7779 4 4 0 0 +IS 7780 9 9 0 0 +IS 7781 8 8 0 0 +IS 7782 8 8 0 0 +IS 7783 7 7 0 0 +IS 7784 6 6 0 0 +IS 7785 11 11 0 0 +IS 7786 8 8 0 0 +IS 7787 7 7 0 0 +IS 7788 10 10 0 0 +IS 7789 9 9 0 0 +IS 7790 8 8 0 0 +IS 7791 10 10 0 0 +IS 7792 7 7 0 0 +IS 7793 11 11 0 0 +IS 7794 11 11 0 0 +IS 7795 11 11 0 0 +IS 7796 14 14 0 0 +IS 7797 11 11 0 0 +IS 7798 9 9 0 0 +IS 7799 12 12 0 0 +IS 7800 14 14 0 0 +IS 7801 13 13 0 0 +IS 7802 14 14 0 0 +IS 7803 13 13 0 0 +IS 7804 13 13 0 0 +IS 7805 12 12 0 0 +IS 7806 12 12 0 0 +IS 7807 9 9 0 0 +IS 7808 13 13 0 0 +IS 7809 12 12 0 0 +IS 7810 10 10 0 0 +IS 7811 14 14 0 0 +IS 7812 15 15 0 0 +IS 7813 13 13 0 0 +IS 7814 10 10 0 0 +IS 7815 12 12 0 0 +IS 7816 8 8 0 0 +IS 7817 6 6 0 0 +IS 7818 11 11 0 0 +IS 7819 8 8 0 0 +IS 7820 10 10 0 0 +IS 7821 8 8 0 0 +IS 7822 12 12 0 0 +IS 7823 9 9 0 0 +IS 7824 8 8 0 0 +IS 7825 8 8 0 0 +IS 7826 5 5 0 0 +IS 7827 10 10 0 0 +IS 7828 7 7 0 0 +IS 7829 7 7 0 0 +IS 7830 9 9 0 0 +IS 7831 4 4 0 0 +IS 7832 5 5 0 0 +IS 7833 4 4 0 0 +IS 7834 6 6 0 0 +IS 7835 4 4 0 0 +IS 7836 3 3 0 0 +IS 7837 5 5 0 0 +IS 7838 6 6 0 0 +IS 7839 6 6 0 0 +IS 7840 4 4 0 0 +IS 7841 1 1 0 0 +IS 7842 0 0 0 0 +IS 7843 0 0 0 0 +IS 7844 1 1 0 0 +IS 7845 2 2 0 0 +IS 7846 1 1 0 0 +IS 7847 2 2 0 0 +IS 7848 0 0 0 0 +IS 7849 1 1 0 0 +IS 7850 0 0 0 0 +IS 7851 0 0 0 0 +IS 7852 0 0 0 0 +IS 7853 0 0 0 0 +IS 7854 0 0 0 0 +IS 7855 0 0 0 0 +IS 7856 0 0 0 0 +IS 7857 0 0 0 0 +IS 7858 0 0 0 0 +IS 7859 0 0 0 0 +IS 7860 1 1 0 0 +IS 7861 1 1 0 0 +IS 7862 1 1 0 0 +IS 7863 0 0 0 0 +IS 7864 0 0 0 0 +IS 7865 0 0 0 0 +IS 7866 0 0 0 0 +IS 7867 1 1 0 0 +IS 7868 0 0 0 0 +IS 7869 0 0 0 0 +IS 7870 1 1 0 0 +IS 7871 0 0 0 0 +IS 7872 0 0 0 0 +IS 7873 1 1 0 0 +IS 7874 0 0 0 0 +IS 7875 0 0 0 0 +IS 7876 0 0 0 0 +IS 7877 0 0 0 0 +IS 7878 1 1 0 0 +IS 7879 0 0 0 0 +IS 7880 0 0 0 0 +IS 7881 0 0 0 0 +IS 7882 0 0 0 0 +IS 7883 0 0 0 0 +IS 7884 0 0 0 0 +IS 7885 0 0 0 0 +IS 7886 0 0 0 0 +IS 7887 0 0 0 0 +IS 7888 0 0 0 0 +IS 7889 1 1 0 0 +IS 7890 0 0 0 0 +IS 7891 0 0 0 0 +IS 7892 1 1 0 0 +IS 7893 0 0 0 0 +IS 7894 1 1 0 0 +IS 7895 0 0 0 0 +IS 7896 1 1 0 0 +IS 7897 0 0 0 0 +IS 7898 1 1 0 0 +IS 7899 0 0 0 0 +IS 7900 0 0 0 0 +IS 7901 0 0 0 0 +IS 7902 0 0 0 0 +IS 7903 0 0 0 0 +IS 7904 1 1 0 0 +IS 7905 0 0 0 0 +IS 7906 0 0 0 0 +IS 7907 0 0 0 0 +IS 7908 0 0 0 0 +IS 7909 0 0 0 0 +IS 7910 0 0 0 0 +IS 7911 0 0 0 0 +IS 7912 0 0 0 0 +IS 7913 0 0 0 0 +IS 7914 0 0 0 0 +IS 7915 0 0 0 0 +IS 7916 0 0 0 0 +IS 7917 0 0 0 0 +IS 7918 0 0 0 0 +IS 7919 0 0 0 0 +IS 7920 0 0 0 0 +IS 7921 0 0 0 0 +IS 7922 0 0 0 0 +IS 7923 0 0 0 0 +IS 7924 0 0 0 0 +IS 7925 0 0 0 0 +IS 7926 0 0 0 0 +IS 7927 0 0 0 0 +IS 7928 0 0 0 0 +IS 7929 0 0 0 0 +IS 7930 0 0 0 0 +IS 7931 0 0 0 0 +IS 7932 0 0 0 0 +IS 7933 0 0 0 0 +IS 7934 0 0 0 0 +IS 7935 0 0 0 0 +IS 7936 0 0 0 0 +IS 7937 0 0 0 0 +IS 7938 0 0 0 0 +IS 7939 0 0 0 0 +IS 7940 0 0 0 0 +IS 7941 0 0 0 0 +IS 7942 0 0 0 0 +IS 7943 0 0 0 0 +IS 7944 1 1 0 0 +IS 7945 0 0 0 0 +IS 7946 0 0 0 0 +IS 7947 0 0 0 0 +IS 7948 0 0 0 0 +IS 7949 0 0 0 0 +IS 7950 0 0 0 0 +IS 7951 0 0 0 0 +IS 7952 0 0 0 0 +IS 7953 0 0 0 0 +IS 7954 0 0 0 0 +IS 7955 0 0 0 0 +IS 7956 0 0 0 0 +IS 7957 0 0 0 0 +IS 7958 0 0 0 0 +IS 7959 1 1 0 0 +IS 7960 1 1 0 0 +IS 7961 0 0 0 0 +IS 7962 0 0 0 0 +IS 7963 0 0 0 0 +IS 7964 0 0 0 0 +IS 7965 0 0 0 0 +IS 7966 0 0 0 0 +IS 7967 0 0 0 0 +IS 7968 0 0 0 0 +IS 7969 1 1 0 0 +IS 7970 0 0 0 0 +IS 7971 0 0 0 0 +IS 7972 0 0 0 0 +IS 7973 0 0 0 0 +IS 7974 0 0 0 0 +IS 7975 0 0 0 0 +IS 7976 0 0 0 0 +IS 7977 1 1 0 0 +IS 7978 0 0 0 0 +IS 7979 0 0 0 0 +IS 7980 0 0 0 0 +IS 7981 0 0 0 0 +IS 7982 0 0 0 0 +IS 7983 0 0 0 0 +IS 7984 0 0 0 0 +IS 7985 1 1 0 0 +IS 7986 0 0 0 0 +IS 7987 0 0 0 0 +IS 7988 1 1 0 0 +IS 7989 0 0 0 0 +IS 7990 0 0 0 0 +IS 7991 1 1 0 0 +IS 7992 0 0 0 0 +IS 7993 1 1 0 0 +IS 7994 1 1 0 0 +IS 7995 0 0 0 0 +IS 7996 0 0 0 0 +IS 7997 0 0 0 0 +IS 7998 2 2 0 0 +IS 7999 3573 3553 11 9 +# Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count +RL 101 641821 +# Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions +ID 1 4895 3362 +ID 2 826 512 +# Indels per cycle. Use `grep ^IC | cut -f 2-` to extract this part. The columns are: cycle, number of insertions (fwd), .. (rev) , number of deletions (fwd), .. (rev) +IC 2 0 3 0 0 +IC 3 8 9 2 2 +IC 4 14 13 33 36 +IC 5 58 65 31 35 +IC 6 58 67 19 20 +IC 7 31 30 14 13 +IC 8 32 32 12 13 +IC 9 27 41 15 13 +IC 10 15 21 25 17 +IC 11 29 24 27 22 +IC 12 20 18 19 18 +IC 13 31 23 29 21 +IC 14 25 32 15 16 +IC 15 33 29 22 20 +IC 16 24 15 23 23 +IC 17 24 20 25 22 +IC 18 27 30 20 35 +IC 19 30 39 35 47 +IC 20 30 25 38 22 +IC 21 36 29 30 25 +IC 22 31 23 26 24 +IC 23 25 43 32 29 +IC 24 31 35 20 19 +IC 25 30 33 17 13 +IC 26 39 28 16 15 +IC 27 50 56 24 18 +IC 28 31 26 10 17 +IC 29 34 31 21 20 +IC 30 26 28 25 19 +IC 31 27 27 22 20 +IC 32 28 37 20 22 +IC 33 24 24 25 10 +IC 34 22 32 24 23 +IC 35 36 25 19 15 +IC 36 26 23 15 29 +IC 37 15 20 30 29 +IC 38 25 32 18 21 +IC 39 20 23 25 24 +IC 40 31 47 26 21 +IC 41 23 29 29 29 +IC 42 27 24 16 17 +IC 43 25 29 21 29 +IC 44 27 32 19 13 +IC 45 36 40 19 26 +IC 46 24 29 21 24 +IC 47 33 28 16 14 +IC 48 41 38 10 16 +IC 49 32 39 22 24 +IC 50 34 29 18 15 +IC 51 15 21 31 28 +IC 52 40 37 28 13 +IC 53 26 21 24 19 +IC 54 20 21 12 22 +IC 55 29 28 17 21 +IC 56 22 20 13 15 +IC 57 23 15 33 30 +IC 58 28 23 19 19 +IC 59 43 39 21 20 +IC 60 38 39 20 21 +IC 61 25 23 21 24 +IC 62 29 21 15 18 +IC 63 39 25 17 14 +IC 64 27 23 11 17 +IC 65 20 35 26 31 +IC 66 23 30 24 13 +IC 67 35 29 22 29 +IC 68 20 24 21 27 +IC 69 28 27 21 14 +IC 70 41 28 21 13 +IC 71 36 35 15 22 +IC 72 25 24 15 18 +IC 73 15 27 18 15 +IC 74 24 27 22 19 +IC 75 28 38 18 22 +IC 76 29 46 24 16 +IC 77 28 48 22 14 +IC 78 23 21 15 28 +IC 79 30 34 26 23 +IC 80 34 30 29 19 +IC 81 31 32 14 17 +IC 82 33 28 20 15 +IC 83 37 20 28 9 +IC 84 27 26 19 12 +IC 85 31 25 16 14 +IC 86 22 26 14 13 +IC 87 30 23 20 23 +IC 88 33 24 8 13 +IC 89 31 26 17 24 +IC 90 34 30 11 19 +IC 91 34 17 16 17 +IC 92 29 29 14 16 +IC 93 23 29 9 9 +IC 94 18 40 13 18 +IC 95 28 48 18 12 +IC 96 42 49 26 27 +IC 97 48 64 36 35 +IC 98 25 28 1 1 +IC 99 10 9 0 0 +# Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. +COV [1-1] 1 639227 +COV [2-2] 2 385861 +COV [3-3] 3 200311 +COV [4-4] 4 140538 +COV [5-5] 5 100920 +COV [6-6] 6 78198 +COV [7-7] 7 63261 +COV [8-8] 8 53571 +COV [9-9] 9 45160 +COV [10-10] 10 40242 +COV [11-11] 11 35638 +COV [12-12] 12 32108 +COV [13-13] 13 28874 +COV [14-14] 14 26269 +COV [15-15] 15 24346 +COV [16-16] 16 22055 +COV [17-17] 17 19763 +COV [18-18] 18 18165 +COV [19-19] 19 17543 +COV [20-20] 20 16315 +COV [21-21] 21 16254 +COV [22-22] 22 14587 +COV [23-23] 23 13217 +COV [24-24] 24 12790 +COV [25-25] 25 12207 +COV [26-26] 26 11415 +COV [27-27] 27 10704 +COV [28-28] 28 9967 +COV [29-29] 29 9972 +COV [30-30] 30 9503 +COV [31-31] 31 9486 +COV [32-32] 32 8859 +COV [33-33] 33 8810 +COV [34-34] 34 8445 +COV [35-35] 35 7811 +COV [36-36] 36 7790 +COV [37-37] 37 7349 +COV [38-38] 38 7298 +COV [39-39] 39 6735 +COV [40-40] 40 6474 +COV [41-41] 41 6543 +COV [42-42] 42 6136 +COV [43-43] 43 6119 +COV [44-44] 44 5783 +COV [45-45] 45 5411 +COV [46-46] 46 5548 +COV [47-47] 47 5121 +COV [48-48] 48 5074 +COV [49-49] 49 4915 +COV [50-50] 50 4760 +COV [51-51] 51 4813 +COV [52-52] 52 4591 +COV [53-53] 53 4309 +COV [54-54] 54 3935 +COV [55-55] 55 4026 +COV [56-56] 56 3923 +COV [57-57] 57 3709 +COV [58-58] 58 3561 +COV [59-59] 59 3609 +COV [60-60] 60 3413 +COV [61-61] 61 3414 +COV [62-62] 62 3233 +COV [63-63] 63 3285 +COV [64-64] 64 3172 +COV [65-65] 65 3188 +COV [66-66] 66 2992 +COV [67-67] 67 2840 +COV [68-68] 68 3046 +COV [69-69] 69 2891 +COV [70-70] 70 2646 +COV [71-71] 71 2584 +COV [72-72] 72 2724 +COV [73-73] 73 2563 +COV [74-74] 74 2439 +COV [75-75] 75 2286 +COV [76-76] 76 2219 +COV [77-77] 77 2212 +COV [78-78] 78 2172 +COV [79-79] 79 2027 +COV [80-80] 80 1978 +COV [81-81] 81 2120 +COV [82-82] 82 2141 +COV [83-83] 83 1983 +COV [84-84] 84 2075 +COV [85-85] 85 1855 +COV [86-86] 86 1761 +COV [87-87] 87 1824 +COV [88-88] 88 1805 +COV [89-89] 89 1663 +COV [90-90] 90 1661 +COV [91-91] 91 1671 +COV [92-92] 92 1618 +COV [93-93] 93 1675 +COV [94-94] 94 1480 +COV [95-95] 95 1460 +COV [96-96] 96 1400 +COV [97-97] 97 1447 +COV [98-98] 98 1402 +COV [99-99] 99 1484 +COV [100-100] 100 1364 +COV [101-101] 101 1364 +COV [102-102] 102 1435 +COV [103-103] 103 1373 +COV [104-104] 104 1299 +COV [105-105] 105 1267 +COV [106-106] 106 1208 +COV [107-107] 107 1157 +COV [108-108] 108 1171 +COV [109-109] 109 1115 +COV [110-110] 110 1089 +COV [111-111] 111 1109 +COV [112-112] 112 1057 +COV [113-113] 113 1018 +COV [114-114] 114 1011 +COV [115-115] 115 976 +COV [116-116] 116 970 +COV [117-117] 117 887 +COV [118-118] 118 889 +COV [119-119] 119 876 +COV [120-120] 120 914 +COV [121-121] 121 835 +COV [122-122] 122 819 +COV [123-123] 123 751 +COV [124-124] 124 753 +COV [125-125] 125 766 +COV [126-126] 126 733 +COV [127-127] 127 650 +COV [128-128] 128 737 +COV [129-129] 129 745 +COV [130-130] 130 636 +COV [131-131] 131 643 +COV [132-132] 132 612 +COV [133-133] 133 668 +COV [134-134] 134 668 +COV [135-135] 135 645 +COV [136-136] 136 570 +COV [137-137] 137 587 +COV [138-138] 138 571 +COV [139-139] 139 616 +COV [140-140] 140 618 +COV [141-141] 141 571 +COV [142-142] 142 582 +COV [143-143] 143 535 +COV [144-144] 144 547 +COV [145-145] 145 519 +COV [146-146] 146 500 +COV [147-147] 147 500 +COV [148-148] 148 483 +COV [149-149] 149 463 +COV [150-150] 150 494 +COV [151-151] 151 474 +COV [152-152] 152 445 +COV [153-153] 153 477 +COV [154-154] 154 457 +COV [155-155] 155 427 +COV [156-156] 156 444 +COV [157-157] 157 436 +COV [158-158] 158 393 +COV [159-159] 159 382 +COV [160-160] 160 400 +COV [161-161] 161 436 +COV [162-162] 162 395 +COV [163-163] 163 387 +COV [164-164] 164 397 +COV [165-165] 165 419 +COV [166-166] 166 404 +COV [167-167] 167 393 +COV [168-168] 168 413 +COV [169-169] 169 415 +COV [170-170] 170 358 +COV [171-171] 171 335 +COV [172-172] 172 328 +COV [173-173] 173 334 +COV [174-174] 174 286 +COV [175-175] 175 315 +COV [176-176] 176 290 +COV [177-177] 177 305 +COV [178-178] 178 290 +COV [179-179] 179 285 +COV [180-180] 180 303 +COV [181-181] 181 251 +COV [182-182] 182 261 +COV [183-183] 183 265 +COV [184-184] 184 269 +COV [185-185] 185 242 +COV [186-186] 186 301 +COV [187-187] 187 284 +COV [188-188] 188 291 +COV [189-189] 189 293 +COV [190-190] 190 225 +COV [191-191] 191 255 +COV [192-192] 192 242 +COV [193-193] 193 247 +COV [194-194] 194 245 +COV [195-195] 195 205 +COV [196-196] 196 235 +COV [197-197] 197 236 +COV [198-198] 198 213 +COV [199-199] 199 217 +COV [200-200] 200 215 +COV [201-201] 201 175 +COV [202-202] 202 182 +COV [203-203] 203 206 +COV [204-204] 204 181 +COV [205-205] 205 212 +COV [206-206] 206 210 +COV [207-207] 207 212 +COV [208-208] 208 163 +COV [209-209] 209 216 +COV [210-210] 210 174 +COV [211-211] 211 195 +COV [212-212] 212 161 +COV [213-213] 213 182 +COV [214-214] 214 174 +COV [215-215] 215 147 +COV [216-216] 216 176 +COV [217-217] 217 185 +COV [218-218] 218 143 +COV [219-219] 219 154 +COV [220-220] 220 137 +COV [221-221] 221 159 +COV [222-222] 222 209 +COV [223-223] 223 168 +COV [224-224] 224 152 +COV [225-225] 225 161 +COV [226-226] 226 162 +COV [227-227] 227 177 +COV [228-228] 228 136 +COV [229-229] 229 127 +COV [230-230] 230 149 +COV [231-231] 231 151 +COV [232-232] 232 108 +COV [233-233] 233 139 +COV [234-234] 234 150 +COV [235-235] 235 153 +COV [236-236] 236 120 +COV [237-237] 237 128 +COV [238-238] 238 142 +COV [239-239] 239 113 +COV [240-240] 240 130 +COV [241-241] 241 112 +COV [242-242] 242 134 +COV [243-243] 243 145 +COV [244-244] 244 111 +COV [245-245] 245 174 +COV [246-246] 246 166 +COV [247-247] 247 144 +COV [248-248] 248 186 +COV [249-249] 249 130 +COV [250-250] 250 107 +COV [251-251] 251 153 +COV [252-252] 252 134 +COV [253-253] 253 135 +COV [254-254] 254 131 +COV [255-255] 255 110 +COV [256-256] 256 117 +COV [257-257] 257 113 +COV [258-258] 258 131 +COV [259-259] 259 107 +COV [260-260] 260 104 +COV [261-261] 261 131 +COV [262-262] 262 112 +COV [263-263] 263 128 +COV [264-264] 264 97 +COV [265-265] 265 129 +COV [266-266] 266 132 +COV [267-267] 267 95 +COV [268-268] 268 98 +COV [269-269] 269 115 +COV [270-270] 270 105 +COV [271-271] 271 121 +COV [272-272] 272 109 +COV [273-273] 273 115 +COV [274-274] 274 101 +COV [275-275] 275 97 +COV [276-276] 276 134 +COV [277-277] 277 112 +COV [278-278] 278 134 +COV [279-279] 279 133 +COV [280-280] 280 113 +COV [281-281] 281 104 +COV [282-282] 282 127 +COV [283-283] 283 126 +COV [284-284] 284 115 +COV [285-285] 285 115 +COV [286-286] 286 116 +COV [287-287] 287 99 +COV [288-288] 288 109 +COV [289-289] 289 107 +COV [290-290] 290 106 +COV [291-291] 291 96 +COV [292-292] 292 92 +COV [293-293] 293 93 +COV [294-294] 294 98 +COV [295-295] 295 95 +COV [296-296] 296 98 +COV [297-297] 297 116 +COV [298-298] 298 104 +COV [299-299] 299 108 +COV [300-300] 300 107 +COV [301-301] 301 106 +COV [302-302] 302 105 +COV [303-303] 303 114 +COV [304-304] 304 116 +COV [305-305] 305 91 +COV [306-306] 306 107 +COV [307-307] 307 114 +COV [308-308] 308 109 +COV [309-309] 309 111 +COV [310-310] 310 101 +COV [311-311] 311 132 +COV [312-312] 312 115 +COV [313-313] 313 120 +COV [314-314] 314 86 +COV [315-315] 315 109 +COV [316-316] 316 125 +COV [317-317] 317 126 +COV [318-318] 318 111 +COV [319-319] 319 106 +COV [320-320] 320 110 +COV [321-321] 321 107 +COV [322-322] 322 91 +COV [323-323] 323 100 +COV [324-324] 324 99 +COV [325-325] 325 100 +COV [326-326] 326 97 +COV [327-327] 327 122 +COV [328-328] 328 97 +COV [329-329] 329 142 +COV [330-330] 330 109 +COV [331-331] 331 114 +COV [332-332] 332 105 +COV [333-333] 333 109 +COV [334-334] 334 107 +COV [335-335] 335 97 +COV [336-336] 336 108 +COV [337-337] 337 86 +COV [338-338] 338 101 +COV [339-339] 339 95 +COV [340-340] 340 90 +COV [341-341] 341 93 +COV [342-342] 342 84 +COV [343-343] 343 92 +COV [344-344] 344 96 +COV [345-345] 345 105 +COV [346-346] 346 88 +COV [347-347] 347 90 +COV [348-348] 348 84 +COV [349-349] 349 85 +COV [350-350] 350 73 +COV [351-351] 351 99 +COV [352-352] 352 104 +COV [353-353] 353 95 +COV [354-354] 354 95 +COV [355-355] 355 95 +COV [356-356] 356 98 +COV [357-357] 357 125 +COV [358-358] 358 72 +COV [359-359] 359 71 +COV [360-360] 360 84 +COV [361-361] 361 84 +COV [362-362] 362 75 +COV [363-363] 363 95 +COV [364-364] 364 74 +COV [365-365] 365 78 +COV [366-366] 366 82 +COV [367-367] 367 81 +COV [368-368] 368 67 +COV [369-369] 369 79 +COV [370-370] 370 81 +COV [371-371] 371 74 +COV [372-372] 372 85 +COV [373-373] 373 72 +COV [374-374] 374 76 +COV [375-375] 375 62 +COV [376-376] 376 81 +COV [377-377] 377 82 +COV [378-378] 378 74 +COV [379-379] 379 55 +COV [380-380] 380 71 +COV [381-381] 381 80 +COV [382-382] 382 74 +COV [383-383] 383 69 +COV [384-384] 384 65 +COV [385-385] 385 78 +COV [386-386] 386 80 +COV [387-387] 387 72 +COV [388-388] 388 67 +COV [389-389] 389 81 +COV [390-390] 390 71 +COV [391-391] 391 53 +COV [392-392] 392 67 +COV [393-393] 393 49 +COV [394-394] 394 78 +COV [395-395] 395 85 +COV [396-396] 396 65 +COV [397-397] 397 69 +COV [398-398] 398 62 +COV [399-399] 399 68 +COV [400-400] 400 68 +COV [401-401] 401 56 +COV [402-402] 402 64 +COV [403-403] 403 45 +COV [404-404] 404 64 +COV [405-405] 405 64 +COV [406-406] 406 76 +COV [407-407] 407 82 +COV [408-408] 408 76 +COV [409-409] 409 69 +COV [410-410] 410 63 +COV [411-411] 411 66 +COV [412-412] 412 79 +COV [413-413] 413 56 +COV [414-414] 414 62 +COV [415-415] 415 63 +COV [416-416] 416 75 +COV [417-417] 417 61 +COV [418-418] 418 53 +COV [419-419] 419 57 +COV [420-420] 420 59 +COV [421-421] 421 50 +COV [422-422] 422 63 +COV [423-423] 423 63 +COV [424-424] 424 41 +COV [425-425] 425 71 +COV [426-426] 426 70 +COV [427-427] 427 59 +COV [428-428] 428 54 +COV [429-429] 429 52 +COV [430-430] 430 54 +COV [431-431] 431 56 +COV [432-432] 432 58 +COV [433-433] 433 59 +COV [434-434] 434 55 +COV [435-435] 435 43 +COV [436-436] 436 52 +COV [437-437] 437 50 +COV [438-438] 438 57 +COV [439-439] 439 66 +COV [440-440] 440 70 +COV [441-441] 441 55 +COV [442-442] 442 68 +COV [443-443] 443 61 +COV [444-444] 444 63 +COV [445-445] 445 64 +COV [446-446] 446 73 +COV [447-447] 447 61 +COV [448-448] 448 54 +COV [449-449] 449 56 +COV [450-450] 450 46 +COV [451-451] 451 69 +COV [452-452] 452 64 +COV [453-453] 453 53 +COV [454-454] 454 68 +COV [455-455] 455 65 +COV [456-456] 456 52 +COV [457-457] 457 68 +COV [458-458] 458 70 +COV [459-459] 459 59 +COV [460-460] 460 52 +COV [461-461] 461 60 +COV [462-462] 462 37 +COV [463-463] 463 59 +COV [464-464] 464 42 +COV [465-465] 465 70 +COV [466-466] 466 59 +COV [467-467] 467 44 +COV [468-468] 468 42 +COV [469-469] 469 52 +COV [470-470] 470 57 +COV [471-471] 471 75 +COV [472-472] 472 58 +COV [473-473] 473 48 +COV [474-474] 474 65 +COV [475-475] 475 61 +COV [476-476] 476 47 +COV [477-477] 477 47 +COV [478-478] 478 52 +COV [479-479] 479 43 +COV [480-480] 480 57 +COV [481-481] 481 45 +COV [482-482] 482 58 +COV [483-483] 483 63 +COV [484-484] 484 62 +COV [485-485] 485 57 +COV [486-486] 486 67 +COV [487-487] 487 65 +COV [488-488] 488 63 +COV [489-489] 489 67 +COV [490-490] 490 63 +COV [491-491] 491 62 +COV [492-492] 492 72 +COV [493-493] 493 62 +COV [494-494] 494 60 +COV [495-495] 495 60 +COV [496-496] 496 61 +COV [497-497] 497 70 +COV [498-498] 498 57 +COV [499-499] 499 62 +COV [500-500] 500 59 +COV [501-501] 501 51 +COV [502-502] 502 55 +COV [503-503] 503 59 +COV [504-504] 504 61 +COV [505-505] 505 56 +COV [506-506] 506 57 +COV [507-507] 507 57 +COV [508-508] 508 45 +COV [509-509] 509 62 +COV [510-510] 510 65 +COV [511-511] 511 40 +COV [512-512] 512 69 +COV [513-513] 513 64 +COV [514-514] 514 37 +COV [515-515] 515 57 +COV [516-516] 516 47 +COV [517-517] 517 38 +COV [518-518] 518 69 +COV [519-519] 519 38 +COV [520-520] 520 58 +COV [521-521] 521 51 +COV [522-522] 522 40 +COV [523-523] 523 47 +COV [524-524] 524 40 +COV [525-525] 525 49 +COV [526-526] 526 47 +COV [527-527] 527 38 +COV [528-528] 528 44 +COV [529-529] 529 55 +COV [530-530] 530 44 +COV [531-531] 531 32 +COV [532-532] 532 43 +COV [533-533] 533 41 +COV [534-534] 534 36 +COV [535-535] 535 46 +COV [536-536] 536 41 +COV [537-537] 537 54 +COV [538-538] 538 39 +COV [539-539] 539 49 +COV [540-540] 540 36 +COV [541-541] 541 34 +COV [542-542] 542 39 +COV [543-543] 543 47 +COV [544-544] 544 33 +COV [545-545] 545 29 +COV [546-546] 546 34 +COV [547-547] 547 36 +COV [548-548] 548 29 +COV [549-549] 549 34 +COV [550-550] 550 33 +COV [551-551] 551 70 +COV [552-552] 552 32 +COV [553-553] 553 45 +COV [554-554] 554 38 +COV [555-555] 555 31 +COV [556-556] 556 43 +COV [557-557] 557 38 +COV [558-558] 558 42 +COV [559-559] 559 29 +COV [560-560] 560 26 +COV [561-561] 561 23 +COV [562-562] 562 35 +COV [563-563] 563 39 +COV [564-564] 564 28 +COV [565-565] 565 30 +COV [566-566] 566 29 +COV [567-567] 567 30 +COV [568-568] 568 42 +COV [569-569] 569 42 +COV [570-570] 570 30 +COV [571-571] 571 23 +COV [572-572] 572 26 +COV [573-573] 573 37 +COV [574-574] 574 34 +COV [575-575] 575 35 +COV [576-576] 576 39 +COV [577-577] 577 34 +COV [578-578] 578 32 +COV [579-579] 579 28 +COV [580-580] 580 29 +COV [581-581] 581 25 +COV [582-582] 582 29 +COV [583-583] 583 43 +COV [584-584] 584 30 +COV [585-585] 585 34 +COV [586-586] 586 29 +COV [587-587] 587 29 +COV [588-588] 588 35 +COV [589-589] 589 27 +COV [590-590] 590 26 +COV [591-591] 591 25 +COV [592-592] 592 34 +COV [593-593] 593 29 +COV [594-594] 594 21 +COV [595-595] 595 22 +COV [596-596] 596 28 +COV [597-597] 597 33 +COV [598-598] 598 40 +COV [599-599] 599 28 +COV [600-600] 600 29 +COV [601-601] 601 39 +COV [602-602] 602 36 +COV [603-603] 603 28 +COV [604-604] 604 27 +COV [605-605] 605 27 +COV [606-606] 606 32 +COV [607-607] 607 24 +COV [608-608] 608 40 +COV [609-609] 609 36 +COV [610-610] 610 37 +COV [611-611] 611 29 +COV [612-612] 612 35 +COV [613-613] 613 30 +COV [614-614] 614 41 +COV [615-615] 615 36 +COV [616-616] 616 42 +COV [617-617] 617 35 +COV [618-618] 618 27 +COV [619-619] 619 32 +COV [620-620] 620 33 +COV [621-621] 621 27 +COV [622-622] 622 43 +COV [623-623] 623 34 +COV [624-624] 624 39 +COV [625-625] 625 36 +COV [626-626] 626 31 +COV [627-627] 627 42 +COV [628-628] 628 29 +COV [629-629] 629 38 +COV [630-630] 630 32 +COV [631-631] 631 30 +COV [632-632] 632 38 +COV [633-633] 633 39 +COV [634-634] 634 26 +COV [635-635] 635 30 +COV [636-636] 636 23 +COV [637-637] 637 34 +COV [638-638] 638 23 +COV [639-639] 639 28 +COV [640-640] 640 36 +COV [641-641] 641 30 +COV [642-642] 642 43 +COV [643-643] 643 37 +COV [644-644] 644 36 +COV [645-645] 645 32 +COV [646-646] 646 39 +COV [647-647] 647 29 +COV [648-648] 648 37 +COV [649-649] 649 40 +COV [650-650] 650 31 +COV [651-651] 651 32 +COV [652-652] 652 24 +COV [653-653] 653 19 +COV [654-654] 654 28 +COV [655-655] 655 29 +COV [656-656] 656 27 +COV [657-657] 657 33 +COV [658-658] 658 28 +COV [659-659] 659 18 +COV [660-660] 660 25 +COV [661-661] 661 33 +COV [662-662] 662 29 +COV [663-663] 663 31 +COV [664-664] 664 26 +COV [665-665] 665 35 +COV [666-666] 666 21 +COV [667-667] 667 27 +COV [668-668] 668 26 +COV [669-669] 669 22 +COV [670-670] 670 30 +COV [671-671] 671 31 +COV [672-672] 672 21 +COV [673-673] 673 34 +COV [674-674] 674 40 +COV [675-675] 675 35 +COV [676-676] 676 36 +COV [677-677] 677 32 +COV [678-678] 678 40 +COV [679-679] 679 33 +COV [680-680] 680 32 +COV [681-681] 681 23 +COV [682-682] 682 32 +COV [683-683] 683 27 +COV [684-684] 684 32 +COV [685-685] 685 30 +COV [686-686] 686 31 +COV [687-687] 687 26 +COV [688-688] 688 28 +COV [689-689] 689 31 +COV [690-690] 690 22 +COV [691-691] 691 27 +COV [692-692] 692 22 +COV [693-693] 693 27 +COV [694-694] 694 27 +COV [695-695] 695 25 +COV [696-696] 696 25 +COV [697-697] 697 32 +COV [698-698] 698 25 +COV [699-699] 699 27 +COV [700-700] 700 27 +COV [701-701] 701 27 +COV [702-702] 702 24 +COV [703-703] 703 29 +COV [704-704] 704 22 +COV [705-705] 705 26 +COV [706-706] 706 16 +COV [707-707] 707 23 +COV [708-708] 708 23 +COV [709-709] 709 23 +COV [710-710] 710 28 +COV [711-711] 711 26 +COV [712-712] 712 28 +COV [713-713] 713 39 +COV [714-714] 714 22 +COV [715-715] 715 29 +COV [716-716] 716 16 +COV [717-717] 717 18 +COV [718-718] 718 26 +COV [719-719] 719 22 +COV [720-720] 720 21 +COV [721-721] 721 20 +COV [722-722] 722 30 +COV [723-723] 723 26 +COV [724-724] 724 25 +COV [725-725] 725 22 +COV [726-726] 726 24 +COV [727-727] 727 30 +COV [728-728] 728 21 +COV [729-729] 729 26 +COV [730-730] 730 20 +COV [731-731] 731 30 +COV [732-732] 732 27 +COV [733-733] 733 28 +COV [734-734] 734 25 +COV [735-735] 735 22 +COV [736-736] 736 32 +COV [737-737] 737 36 +COV [738-738] 738 32 +COV [739-739] 739 26 +COV [740-740] 740 22 +COV [741-741] 741 21 +COV [742-742] 742 18 +COV [743-743] 743 28 +COV [744-744] 744 28 +COV [745-745] 745 21 +COV [746-746] 746 16 +COV [747-747] 747 30 +COV [748-748] 748 28 +COV [749-749] 749 22 +COV [750-750] 750 21 +COV [751-751] 751 30 +COV [752-752] 752 12 +COV [753-753] 753 24 +COV [754-754] 754 28 +COV [755-755] 755 19 +COV [756-756] 756 36 +COV [757-757] 757 27 +COV [758-758] 758 26 +COV [759-759] 759 29 +COV [760-760] 760 26 +COV [761-761] 761 24 +COV [762-762] 762 21 +COV [763-763] 763 18 +COV [764-764] 764 19 +COV [765-765] 765 26 +COV [766-766] 766 21 +COV [767-767] 767 17 +COV [768-768] 768 26 +COV [769-769] 769 18 +COV [770-770] 770 14 +COV [771-771] 771 18 +COV [772-772] 772 20 +COV [773-773] 773 21 +COV [774-774] 774 20 +COV [775-775] 775 16 +COV [776-776] 776 17 +COV [777-777] 777 24 +COV [778-778] 778 12 +COV [779-779] 779 19 +COV [780-780] 780 14 +COV [781-781] 781 25 +COV [782-782] 782 21 +COV [783-783] 783 27 +COV [784-784] 784 21 +COV [785-785] 785 19 +COV [786-786] 786 23 +COV [787-787] 787 19 +COV [788-788] 788 24 +COV [789-789] 789 15 +COV [790-790] 790 17 +COV [791-791] 791 16 +COV [792-792] 792 23 +COV [793-793] 793 19 +COV [794-794] 794 17 +COV [795-795] 795 13 +COV [796-796] 796 18 +COV [797-797] 797 23 +COV [798-798] 798 22 +COV [799-799] 799 22 +COV [800-800] 800 13 +COV [801-801] 801 13 +COV [802-802] 802 13 +COV [803-803] 803 13 +COV [804-804] 804 23 +COV [805-805] 805 20 +COV [806-806] 806 17 +COV [807-807] 807 16 +COV [808-808] 808 11 +COV [809-809] 809 23 +COV [810-810] 810 17 +COV [811-811] 811 10 +COV [812-812] 812 17 +COV [813-813] 813 12 +COV [814-814] 814 14 +COV [815-815] 815 14 +COV [816-816] 816 14 +COV [817-817] 817 24 +COV [818-818] 818 17 +COV [819-819] 819 21 +COV [820-820] 820 21 +COV [821-821] 821 10 +COV [822-822] 822 20 +COV [823-823] 823 19 +COV [824-824] 824 17 +COV [825-825] 825 18 +COV [826-826] 826 21 +COV [827-827] 827 24 +COV [828-828] 828 14 +COV [829-829] 829 21 +COV [830-830] 830 25 +COV [831-831] 831 18 +COV [832-832] 832 23 +COV [833-833] 833 19 +COV [834-834] 834 17 +COV [835-835] 835 19 +COV [836-836] 836 19 +COV [837-837] 837 20 +COV [838-838] 838 24 +COV [839-839] 839 20 +COV [840-840] 840 16 +COV [841-841] 841 21 +COV [842-842] 842 20 +COV [843-843] 843 17 +COV [844-844] 844 18 +COV [845-845] 845 14 +COV [846-846] 846 16 +COV [847-847] 847 11 +COV [848-848] 848 17 +COV [849-849] 849 12 +COV [850-850] 850 18 +COV [851-851] 851 22 +COV [852-852] 852 15 +COV [853-853] 853 17 +COV [854-854] 854 16 +COV [855-855] 855 18 +COV [856-856] 856 11 +COV [857-857] 857 7 +COV [858-858] 858 6 +COV [859-859] 859 23 +COV [860-860] 860 14 +COV [861-861] 861 10 +COV [862-862] 862 19 +COV [863-863] 863 8 +COV [864-864] 864 14 +COV [865-865] 865 10 +COV [866-866] 866 9 +COV [867-867] 867 11 +COV [868-868] 868 16 +COV [869-869] 869 8 +COV [870-870] 870 9 +COV [871-871] 871 9 +COV [872-872] 872 13 +COV [873-873] 873 6 +COV [874-874] 874 15 +COV [875-875] 875 5 +COV [876-876] 876 6 +COV [877-877] 877 8 +COV [878-878] 878 8 +COV [879-879] 879 14 +COV [880-880] 880 8 +COV [881-881] 881 20 +COV [882-882] 882 15 +COV [883-883] 883 12 +COV [884-884] 884 14 +COV [885-885] 885 14 +COV [886-886] 886 12 +COV [887-887] 887 11 +COV [888-888] 888 13 +COV [889-889] 889 11 +COV [890-890] 890 6 +COV [891-891] 891 11 +COV [892-892] 892 9 +COV [893-893] 893 9 +COV [894-894] 894 12 +COV [895-895] 895 16 +COV [896-896] 896 10 +COV [897-897] 897 8 +COV [898-898] 898 8 +COV [899-899] 899 11 +COV [900-900] 900 7 +COV [901-901] 901 15 +COV [902-902] 902 13 +COV [903-903] 903 17 +COV [904-904] 904 9 +COV [905-905] 905 8 +COV [906-906] 906 13 +COV [907-907] 907 10 +COV [908-908] 908 8 +COV [909-909] 909 13 +COV [910-910] 910 7 +COV [911-911] 911 9 +COV [912-912] 912 8 +COV [913-913] 913 9 +COV [914-914] 914 8 +COV [915-915] 915 9 +COV [916-916] 916 6 +COV [917-917] 917 9 +COV [918-918] 918 7 +COV [919-919] 919 9 +COV [920-920] 920 8 +COV [921-921] 921 13 +COV [922-922] 922 5 +COV [923-923] 923 5 +COV [924-924] 924 5 +COV [925-925] 925 7 +COV [926-926] 926 10 +COV [927-927] 927 6 +COV [928-928] 928 21 +COV [929-929] 929 10 +COV [930-930] 930 10 +COV [931-931] 931 7 +COV [932-932] 932 12 +COV [933-933] 933 14 +COV [934-934] 934 14 +COV [935-935] 935 7 +COV [936-936] 936 12 +COV [937-937] 937 13 +COV [938-938] 938 10 +COV [939-939] 939 12 +COV [940-940] 940 18 +COV [941-941] 941 11 +COV [942-942] 942 10 +COV [943-943] 943 6 +COV [944-944] 944 12 +COV [945-945] 945 12 +COV [946-946] 946 8 +COV [947-947] 947 12 +COV [948-948] 948 10 +COV [949-949] 949 5 +COV [950-950] 950 9 +COV [951-951] 951 16 +COV [952-952] 952 13 +COV [953-953] 953 15 +COV [954-954] 954 15 +COV [955-955] 955 8 +COV [956-956] 956 15 +COV [957-957] 957 18 +COV [958-958] 958 9 +COV [959-959] 959 21 +COV [960-960] 960 14 +COV [961-961] 961 17 +COV [962-962] 962 9 +COV [963-963] 963 14 +COV [964-964] 964 6 +COV [965-965] 965 5 +COV [966-966] 966 13 +COV [967-967] 967 12 +COV [968-968] 968 13 +COV [969-969] 969 10 +COV [970-970] 970 13 +COV [971-971] 971 8 +COV [972-972] 972 13 +COV [973-973] 973 12 +COV [974-974] 974 14 +COV [975-975] 975 9 +COV [976-976] 976 12 +COV [977-977] 977 4 +COV [978-978] 978 14 +COV [979-979] 979 6 +COV [980-980] 980 12 +COV [981-981] 981 5 +COV [982-982] 982 8 +COV [983-983] 983 4 +COV [984-984] 984 9 +COV [985-985] 985 9 +COV [986-986] 986 10 +COV [987-987] 987 8 +COV [988-988] 988 4 +COV [989-989] 989 6 +COV [990-990] 990 3 +COV [991-991] 991 5 +COV [992-992] 992 2 +COV [993-993] 993 6 +COV [994-994] 994 6 +COV [995-995] 995 7 +COV [996-996] 996 14 +COV [997-997] 997 12 +COV [998-998] 998 7 +COV [999-999] 999 8 +COV [1000-1000] 1000 8 +COV [1000<] 1000 5025 +# GC-depth. Use `grep ^GCD | cut -f 2-` to extract this part. The columns are: GC%, unique sequence percentiles, 10th, 25th, 50th, 75th and 90th depth percentile +GCD 0.0 0.554 0.000 0.000 0.000 0.000 0.000 +GCD 0.5 0.831 0.525 0.525 0.525 0.525 0.525 +GCD 36.0 1.385 0.954 0.954 0.954 1.490 1.490 +GCD 37.0 2.216 2.495 2.495 4.146 6.560 6.560 +GCD 38.0 5.263 0.247 0.454 3.520 5.868 9.883 +GCD 39.0 9.141 0.177 0.303 2.161 8.777 12.812 +GCD 40.0 12.188 0.020 1.192 9.060 22.018 27.371 +GCD 41.0 16.343 0.035 0.550 2.702 11.469 12.908 +GCD 42.0 21.884 0.010 0.172 2.121 5.621 17.094 +GCD 43.0 28.255 0.010 0.328 1.449 4.277 10.166 +GCD 44.0 36.288 0.162 0.394 5.484 15.145 50.490 +GCD 45.0 42.105 0.020 0.131 1.252 7.009 17.811 +GCD 46.0 49.861 0.015 0.121 0.636 1.939 37.506 +GCD 47.0 56.510 0.030 0.141 1.015 4.500 6.338 +GCD 48.0 64.543 0.010 0.091 2.565 7.287 21.872 +GCD 49.0 68.975 0.010 0.333 0.672 10.751 27.129 +GCD 50.0 73.407 0.010 0.121 1.358 3.883 6.615 +GCD 51.0 77.008 0.121 0.576 1.576 4.363 13.923 +GCD 52.0 81.994 0.010 0.086 1.560 4.414 109.383 +GCD 53.0 84.488 0.040 0.071 0.500 3.025 31.234 +GCD 54.0 86.704 0.020 0.313 9.332 39.683 203.959 +GCD 55.0 89.197 0.005 0.051 1.268 5.045 23.578 +GCD 56.0 91.136 0.071 0.192 1.566 9.994 33.315 +GCD 57.0 94.460 0.040 0.348 1.167 5.050 11.660 +GCD 58.0 95.845 0.131 0.131 1.899 2.742 4.929 +GCD 59.0 96.399 3.313 3.313 3.313 3.666 3.666 +GCD 60.0 97.507 0.995 0.995 5.176 6.954 33.234 +GCD 61.0 98.338 1.591 1.591 1.788 4.848 4.848 +GCD 62.0 98.892 3.171 3.171 3.171 7.343 7.343 +GCD 63.0 99.446 0.530 0.530 0.530 6.403 6.403 +GCD 64.0 100.000 1.025 1.025 1.025 4.585 4.585 diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/tophat_data.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/multiqc/test-data/tophat_data.txt Thu May 25 17:49:13 2017 -0400 @@ -0,0 +1,14 @@ +Left reads: + Input : 316390 + Mapped : 314921 (99.5% of input) + of these: 5715 ( 1.8%) have multiple alignments (0 have >20) +Right reads: + Input : 316390 + Mapped : 314789 (99.5% of input) + of these: 5707 ( 1.8%) have multiple alignments (0 have >20) +99.5% overall read mapping rate. + +Aligned pairs: 313405 + of these: 5638 ( 1.8%) have multiple alignments + 34 ( 0.0%) are discordant alignments +99.0% concordant pair alignment rate. diff -r 66f1187ed363 -r 4612d775965f readme.rst --- a/readme.rst Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,35 +0,0 @@ -======================== -Galaxy multiqc wrapper -======================== - -Aggregate results from bioinformatics analyses across many samples into a single report - -MultiQC searches a given directory for analysis logs and compiles a HTML report. It's a general use tool, perfect for summarising the output from numerous bioinformatics tools. - -============ -Installation -============ - -Requirements: pkg-config - -Conda recipe: A conda recipe exists in bioconda repository. If you have a recent Galaxy release, the packages installation is not mandatory. - -================ -MultiQC webpage -================ - -Important: For a good view of multiqc webpage, you need to deactivate the sanitize_all_html option in galaxy.ini - - sanitize_all_html = False - -======= -History -======= - - * v0.6: Initial public release - -========== -Citation -========== - -Created by EnginesOn company diff -r 66f1187ed363 -r 4612d775965f test-data/CollectInsertSizeMetrics.txt --- a/test-data/CollectInsertSizeMetrics.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,737 +0,0 @@ -## htsjdk.samtools.metrics.StringHeader -# picard.analysis.CollectInsertSizeMetrics HISTOGRAM_FILE=/omaha-beach/cloud_26/files/000/dataset_199.dat DEVIATIONS=10.0 MINIMUM_PCT=0.05 METRIC_ACCUMULATION_LEVEL=[ALL_READS] INPUT=/omaha-beach/cloud_26/files/000/dataset_197.dat OUTPUT=/omaha-beach/cloud_26/files/000/dataset_198.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=localref.fa STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json -## htsjdk.samtools.metrics.StringHeader -# Started on: Mon May 23 09:33:00 UTC 2016 - -## METRICS CLASS picard.analysis.InsertSizeMetrics -MEDIAN_INSERT_SIZE MEDIAN_ABSOLUTE_DEVIATION MIN_INSERT_SIZE MAX_INSERT_SIZE MEAN_INSERT_SIZE STANDARD_DEVIATION READ_PAIRS PAIR_ORIENTATION WIDTH_OF_10_PERCENT WIDTH_OF_20_PERCENT WIDTH_OF_30_PERCENT WIDTH_OF_40_PERCENT WIDTH_OF_50_PERCENT WIDTH_OF_60_PERCENT WIDTH_OF_70_PERCENT WIDTH_OF_80_PERCENT WIDTH_OF_90_PERCENT WIDTH_OF_99_PERCENT SAMPLE LIBRARY READ_GROUP -194 63 100 5331452 271.809759 196.076488 311788 FR 25 47 69 91 127 343 941 1515 2585 16663 - -## HISTOGRAM java.lang.Integer -insert_size All_Reads.fr_count -100 2 -101 117 -102 424 -103 390 -104 376 -105 335 -106 360 -107 343 -108 353 -109 386 -110 349 -111 368 -112 445 -113 459 -114 470 -115 512 -116 478 -117 520 -118 558 -119 599 -120 603 -121 600 -122 696 -123 703 -124 657 -125 747 -126 734 -127 753 -128 820 -129 880 -130 923 -131 931 -132 953 -133 1006 -134 1086 -135 1134 -136 1177 -137 1280 -138 1381 -139 1419 -140 1494 -141 1625 -142 1697 -143 1838 -144 1899 -145 1957 -146 2197 -147 2214 -148 2276 -149 2450 -150 2557 -151 2523 -152 2619 -153 2591 -154 2575 -155 2745 -156 2756 -157 2716 -158 2765 -159 2775 -160 2884 -161 2830 -162 2781 -163 2718 -164 2777 -165 2859 -166 2803 -167 2855 -168 2896 -169 2817 -170 2843 -171 2817 -172 2844 -173 2855 -174 2777 -175 2684 -176 2703 -177 2574 -178 2516 -179 2569 -180 2494 -181 2374 -182 2322 -183 2186 -184 2117 -185 1992 -186 1914 -187 1831 -188 1883 -189 1705 -190 1610 -191 1484 -192 1484 -193 1358 -194 1290 -195 1180 -196 1148 -197 1013 -198 979 -199 895 -200 809 -201 715 -202 699 -203 616 -204 507 -205 501 -206 423 -207 374 -208 342 -209 301 -210 286 -211 180 -212 202 -213 175 -214 164 -215 134 -216 129 -217 93 -218 86 -219 89 -220 79 -221 66 -222 66 -223 57 -224 78 -225 67 -226 69 -227 70 -228 73 -229 82 -230 77 -231 85 -232 100 -233 109 -234 79 -235 96 -236 113 -237 100 -238 112 -239 106 -240 141 -241 141 -242 136 -243 133 -244 145 -245 136 -246 139 -247 150 -248 162 -249 157 -250 147 -251 170 -252 150 -253 180 -254 185 -255 187 -256 189 -257 181 -258 186 -259 188 -260 197 -261 199 -262 195 -263 183 -264 208 -265 192 -266 213 -267 215 -268 207 -269 192 -270 186 -271 189 -272 197 -273 188 -274 216 -275 203 -276 179 -277 209 -278 194 -279 202 -280 180 -281 177 -282 176 -283 173 -284 177 -285 167 -286 167 -287 181 -288 184 -289 190 -290 144 -291 161 -292 178 -293 173 -294 134 -295 151 -296 136 -297 145 -298 140 -299 144 -300 123 -301 121 -302 112 -303 103 -304 118 -305 110 -306 117 -307 126 -308 110 -309 95 -310 97 -311 105 -312 97 -313 98 -314 104 -315 81 -316 86 -317 83 -318 89 -319 78 -320 88 -321 89 -322 94 -323 84 -324 95 -325 86 -326 100 -327 97 -328 95 -329 186 -330 97 -331 74 -332 91 -333 79 -334 109 -335 101 -336 95 -337 100 -338 108 -339 94 -340 124 -341 102 -342 107 -343 103 -344 107 -345 114 -346 97 -347 109 -348 95 -349 115 -350 96 -351 101 -352 111 -353 121 -354 104 -355 109 -356 91 -357 129 -358 111 -359 126 -360 127 -361 123 -362 123 -363 101 -364 116 -365 114 -366 103 -367 115 -368 117 -369 110 -370 109 -371 108 -372 121 -373 111 -374 125 -375 121 -376 107 -377 101 -378 130 -379 103 -380 115 -381 92 -382 103 -383 101 -384 97 -385 114 -386 110 -387 94 -388 102 -389 90 -390 98 -391 82 -392 85 -393 86 -394 82 -395 86 -396 82 -397 111 -398 85 -399 90 -400 89 -401 95 -402 57 -403 105 -404 83 -405 69 -406 73 -407 79 -408 89 -409 66 -410 93 -411 81 -412 78 -413 71 -414 62 -415 71 -416 83 -417 69 -418 77 -419 76 -420 68 -421 73 -422 59 -423 74 -424 63 -425 72 -426 64 -427 72 -428 78 -429 69 -430 71 -431 74 -432 71 -433 62 -434 78 -435 80 -436 85 -437 77 -438 84 -439 72 -440 85 -441 84 -442 79 -443 65 -444 87 -445 81 -446 70 -447 77 -448 60 -449 66 -450 82 -451 88 -452 74 -453 97 -454 82 -455 86 -456 97 -457 107 -458 84 -459 91 -460 103 -461 88 -462 96 -463 82 -464 109 -465 104 -466 106 -467 103 -468 85 -469 102 -470 100 -471 106 -472 99 -473 101 -474 116 -475 104 -476 110 -477 103 -478 98 -479 95 -480 108 -481 111 -482 102 -483 118 -484 115 -485 113 -486 123 -487 111 -488 119 -489 120 -490 112 -491 115 -492 114 -493 114 -494 129 -495 117 -496 126 -497 113 -498 120 -499 114 -500 140 -501 108 -502 116 -503 110 -504 86 -505 127 -506 128 -507 119 -508 111 -509 122 -510 121 -511 155 -512 139 -513 141 -514 130 -515 132 -516 131 -517 132 -518 143 -519 146 -520 135 -521 141 -522 132 -523 141 -524 151 -525 144 -526 143 -527 155 -528 149 -529 149 -530 129 -531 129 -532 121 -533 139 -534 153 -535 141 -536 125 -537 136 -538 139 -539 128 -540 140 -541 107 -542 114 -543 138 -544 138 -545 140 -546 113 -547 132 -548 145 -549 139 -550 139 -551 107 -552 131 -553 119 -554 117 -555 132 -556 125 -557 197 -558 118 -559 115 -560 127 -561 111 -562 115 -563 110 -564 117 -565 114 -566 113 -567 115 -568 127 -569 113 -570 107 -571 111 -572 97 -573 112 -574 110 -575 108 -576 110 -577 108 -578 113 -579 104 -580 78 -581 101 -582 121 -583 97 -584 111 -585 107 -586 98 -587 107 -588 94 -589 113 -590 110 -591 107 -592 114 -593 118 -594 100 -595 116 -596 98 -597 107 -598 90 -599 114 -600 107 -601 117 -602 109 -603 103 -604 107 -605 122 -606 112 -607 106 -608 114 -609 101 -610 95 -611 106 -612 107 -613 101 -614 115 -615 88 -616 113 -617 101 -618 103 -619 114 -620 110 -621 126 -622 108 -623 112 -624 111 -625 121 -626 116 -627 106 -628 111 -629 93 -630 103 -631 96 -632 98 -633 80 -634 104 -635 86 -636 88 -637 102 -638 89 -639 78 -640 85 -641 109 -642 106 -643 80 -644 86 -645 93 -646 76 -647 81 -648 91 -649 92 -650 100 -651 88 -652 73 -653 97 -654 111 -655 76 -656 99 -657 90 -658 92 -659 87 -660 101 -661 103 -662 91 -663 105 -664 102 -665 89 -666 84 -667 104 -668 95 -669 99 -670 106 -671 101 -672 103 -673 111 -674 94 -675 108 -676 93 -677 113 -678 101 -679 86 -680 102 -681 97 -682 91 -683 107 -684 102 -685 112 -686 112 -687 98 -688 102 -689 112 -690 116 -691 90 -692 90 -693 96 -694 100 -695 85 -696 101 -697 106 -698 92 -699 90 -700 97 -701 102 -702 105 -703 109 -704 122 -705 101 -706 123 -707 126 -708 115 -709 114 -710 99 -711 136 -712 102 -713 114 -714 114 -715 119 -716 105 -717 121 -718 140 -719 113 -720 124 -721 140 -722 102 -723 146 -724 118 -725 145 -726 133 -727 155 -728 149 -729 129 -730 146 -731 153 -732 155 -733 164 -734 162 -735 179 -736 162 -737 158 -738 161 -739 171 -740 171 -741 168 -742 161 -743 198 -744 185 -745 146 -746 161 -747 178 -748 184 -749 185 -750 179 -751 189 -752 187 -753 166 -754 179 -755 170 -756 181 -757 193 -758 185 -759 201 -760 202 -761 195 -762 176 -763 204 -764 201 -765 182 -766 183 -767 180 -768 161 -769 174 -770 173 -771 185 -772 160 -773 180 -774 170 -775 167 -776 187 -777 167 -778 179 -779 187 -780 157 -781 176 -782 162 -783 158 -784 161 -785 160 -786 177 -787 161 -788 174 -789 145 -790 143 -791 148 -792 162 -793 170 -794 145 -795 157 -796 132 -797 150 -798 149 -799 131 -800 158 -801 132 -802 128 -803 118 -804 107 -805 120 -806 132 -807 122 -808 108 -809 116 -810 133 -811 112 -812 125 -813 93 -814 94 -815 94 -816 101 -817 91 -818 94 -819 98 -820 82 -821 73 -822 87 -823 69 -824 84 - diff -r 66f1187ed363 -r 4612d775965f test-data/MarkDuplicates_data.txt --- a/test-data/MarkDuplicates_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,112 +0,0 @@ -## htsjdk.samtools.metrics.StringHeader -# picard.sam.markduplicates.MarkDuplicates INPUT=[/omaha-beach/cloud_26/files/000/dataset_114.dat] OUTPUT=/omaha-beach/cloud_26/files/000/dataset_197.dat METRICS_FILE=/omaha-beach/cloud_26/files/000/dataset_196.dat REMOVE_DUPLICATES=false ASSUME_SORTED=true DUPLICATE_SCORING_STRATEGY=SUM_OF_BASE_QUALITIES READ_NAME_REGEX=[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*. OPTICAL_DUPLICATE_PIXEL_DISTANCE=100 VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT MAX_SEQUENCES_FOR_DISK_READ_ENDS_MAP=50000 MAX_FILE_HANDLES_FOR_READ_ENDS_MAP=8000 SORTING_COLLECTION_SIZE_RATIO=0.25 PROGRAM_RECORD_ID=MarkDuplicates PROGRAM_GROUP_NAME=MarkDuplicates COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json -## htsjdk.samtools.metrics.StringHeader -# Started on: Mon May 23 09:32:41 UTC 2016 - -## METRICS CLASS picard.sam.DuplicationMetrics -LIBRARY UNPAIRED_READS_EXAMINED READ_PAIRS_EXAMINED UNMAPPED_READS UNPAIRED_READ_DUPLICATES READ_PAIR_DUPLICATES READ_PAIR_OPTICAL_DUPLICATES PERCENT_DUPLICATION ESTIMATED_LIBRARY_SIZE -Unknown Library 2900 313405 0 2257 629 0 0.005582 77973949 - -## HISTOGRAM java.lang.Double -BIN VALUE -1.0 1 -2.0 1.995989 -3.0 2.987982 -4.0 3.975997 -5.0 4.960048 -6.0 5.940152 -7.0 6.916324 -8.0 7.88858 -9.0 8.856937 -10.0 9.821409 -11.0 10.782013 -12.0 11.738763 -13.0 12.691676 -14.0 13.640766 -15.0 14.586049 -16.0 15.52754 -17.0 16.465254 -18.0 17.399207 -19.0 18.329414 -20.0 19.25589 -21.0 20.178649 -22.0 21.097706 -23.0 22.013077 -24.0 22.924776 -25.0 23.832819 -26.0 24.737218 -27.0 25.63799 -28.0 26.535149 -29.0 27.428709 -30.0 28.318684 -31.0 29.20509 -32.0 30.08794 -33.0 30.967248 -34.0 31.84303 -35.0 32.715298 -36.0 33.584068 -37.0 34.449352 -38.0 35.311166 -39.0 36.169523 -40.0 37.024436 -41.0 37.875921 -42.0 38.723989 -43.0 39.568656 -44.0 40.409935 -45.0 41.247839 -46.0 42.082382 -47.0 42.913578 -48.0 43.741439 -49.0 44.565979 -50.0 45.387212 -51.0 46.205151 -52.0 47.019809 -53.0 47.831199 -54.0 48.639334 -55.0 49.444228 -56.0 50.245893 -57.0 51.044342 -58.0 51.839588 -59.0 52.631645 -60.0 53.420524 -61.0 54.206239 -62.0 54.988802 -63.0 55.768226 -64.0 56.544524 -65.0 57.317707 -66.0 58.087789 -67.0 58.854783 -68.0 59.618699 -69.0 60.379551 -70.0 61.137352 -71.0 61.892112 -72.0 62.643845 -73.0 63.392562 -74.0 64.138276 -75.0 64.880999 -76.0 65.620743 -77.0 66.357519 -78.0 67.09134 -79.0 67.822217 -80.0 68.550163 -81.0 69.275188 -82.0 69.997306 -83.0 70.716526 -84.0 71.432862 -85.0 72.146324 -86.0 72.856924 -87.0 73.564674 -88.0 74.269585 -89.0 74.971668 -90.0 75.670935 -91.0 76.367397 -92.0 77.061066 -93.0 77.751952 -94.0 78.440066 -95.0 79.12542 -96.0 79.808025 -97.0 80.487892 -98.0 81.165032 -99.0 81.839456 -100.0 82.511174 - diff -r 66f1187ed363 -r 4612d775965f test-data/bismark_data.txt --- a/test-data/bismark_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,39 +0,0 @@ -Bismark report for: /omaha-beach/cloud_26/files/000/dataset_33.dat (version: v0.10.0) -Option '--directional' specified: alignments to complementary strands will be ignored (i.e. not performed!) -Bowtie was run against the bisulfite genome of /root/galaxy/database/tmp/tmpvNBPSF/ with the specified options: -q -L 20 -D 15 -R 2 --score-min L,0,-0.2 --ignore-quals --quiet - -Final Alignment report -====================== -Sequences analysed in total: 316390 -Number of alignments with a unique best hit from the different alignments: 220558 -Mapping efficiency: 69.7% -Sequences with no alignments under any condition: 93928 -Sequences did not map uniquely: 1904 -Sequences which were discarded because genomic sequence could not be extracted: 0 - -Number of sequences with unique best (first) alignment came from the bowtie output: -CT/CT: 108352 ((converted) top strand) -CT/GA: 112206 ((converted) bottom strand) -GA/CT: 0 (complementary to (converted) top strand) -GA/GA: 0 (complementary to (converted) bottom strand) - -Number of alignments to (merely theoretical) complementary strands being rejected in total: 0 - -Final Cytosine Methylation Report -================================= -Total number of C's analysed: 5291918 - -Total methylated C's in CpG context: 465068 -Total methylated C's in CHG context: 1358074 -Total methylated C's in CHH context: 3449120 -Total methylated C's in Unknown context: 1499 - -Total unmethylated C's in CpG context: 6399 -Total unmethylated C's in CHG context: 2988 -Total unmethylated C's in CHH context: 10269 -Total unmethylated C's in Unknown context: 454 - -C methylated in CpG context: 98.6% -C methylated in CHG context: 99.8% -C methylated in CHH context: 99.7% -C methylated in Unknown context (CN or CHN): 76.8% diff -r 66f1187ed363 -r 4612d775965f test-data/collectGcBias_data.txt --- a/test-data/collectGcBias_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,110 +0,0 @@ -## htsjdk.samtools.metrics.StringHeader -# picard.analysis.CollectGcBiasMetrics CHART_OUTPUT=/omaha-beach/cloud_26/files/000/dataset_195.dat SUMMARY_OUTPUT=/omaha-beach/cloud_26/files/000/dataset_193.dat WINDOW_SIZE=100 MINIMUM_GENOME_FRACTION=5.0E-5 IS_BISULFITE_SEQUENCED=true INPUT=/omaha-beach/cloud_26/files/000/dataset_114.dat OUTPUT=/omaha-beach/cloud_26/files/000/dataset_194.dat ASSUME_SORTED=true VERBOSITY=ERROR QUIET=true VALIDATION_STRINGENCY=LENIENT REFERENCE_SEQUENCE=localref.fa METRIC_ACCUMULATION_LEVEL=[ALL_READS] STOP_AFTER=0 COMPRESSION_LEVEL=5 MAX_RECORDS_IN_RAM=500000 CREATE_INDEX=false CREATE_MD5_FILE=false GA4GH_CLIENT_SECRETS=client_secrets.json -## htsjdk.samtools.metrics.StringHeader -# Started on: Mon May 23 09:32:30 UTC 2016 - -## METRICS CLASS picard.analysis.GcBiasDetailMetrics -ACCUMULATION_LEVEL GC WINDOWS READ_STARTS MEAN_BASE_QUALITY NORMALIZED_COVERAGE ERROR_BAR_WIDTH SAMPLE LIBRARY READ_GROUP -All Reads 0 0 0 0 0 0 -All Reads 1 0 0 0 0 0 -All Reads 2 0 0 0 0 0 -All Reads 3 10 0 0 0 0 -All Reads 4 7 0 0 0 0 -All Reads 5 6 0 0 0 0 -All Reads 6 4 0 0 0 0 -All Reads 7 9 0 0 0 0 -All Reads 8 22 0 0 0 0 -All Reads 9 15 0 0 0 0 -All Reads 10 20 0 0 0 0 -All Reads 11 18 0 0 0 0 -All Reads 12 101 0 0 0 0 -All Reads 13 118 0 0 0 0 -All Reads 14 137 1 20 0.110575 0.110575 -All Reads 15 243 4 19 0.249362 0.124681 -All Reads 16 366 10 21 0.4139 0.130887 -All Reads 17 468 9 24 0.291322 0.097107 -All Reads 18 689 25 24 0.549664 0.109933 -All Reads 19 1087 40 26 0.557451 0.088141 -All Reads 20 2152 95 25 0.668741 0.068611 -All Reads 21 3279 127 23 0.586731 0.052064 -All Reads 22 5106 178 23 0.528099 0.039583 -All Reads 23 7817 319 23 0.618197 0.034612 -All Reads 24 11933 630 24 0.799774 0.031864 -All Reads 25 17449 759 25 0.658943 0.023918 -All Reads 26 25272 1414 26 0.847591 0.02254 -All Reads 27 34926 1806 25 0.783331 0.018433 -All Reads 28 48489 2889 26 0.90257 0.016792 -All Reads 29 64950 4285 26 0.99942 0.015268 -All Reads 30 84452 5453 26 0.978142 0.013246 -All Reads 31 107535 6476 26 0.912291 0.011337 -All Reads 32 134982 7953 26 0.892548 0.010008 -All Reads 33 165941 9475 26 0.864972 0.008886 -All Reads 34 199087 11437 26 0.870253 0.008137 -All Reads 35 233144 12856 26 0.83533 0.007367 -All Reads 36 266049 14918 26 0.849426 0.006955 -All Reads 37 298999 17019 26 0.862265 0.00661 -All Reads 38 327958 20230 26 0.934446 0.00657 -All Reads 39 350801 22684 26 0.97957 0.006504 -All Reads 40 369841 23670 26 0.969527 0.006302 -All Reads 41 383262 25527 26 1.008975 0.006315 -All Reads 42 392470 26131 25 1.008617 0.006239 -All Reads 43 395234 25603 25 0.981326 0.006133 -All Reads 44 392428 26425 25 1.020074 0.006275 -All Reads 45 386569 25213 25 0.988039 0.006222 -All Reads 46 376763 25980 25 1.044594 0.006481 -All Reads 47 363422 24801 25 1.033795 0.006564 -All Reads 48 348339 24838 25 1.080167 0.006854 -All Reads 49 331960 24992 24 1.140491 0.007214 -All Reads 50 315781 23793 24 1.141405 0.0074 -All Reads 51 297249 22601 24 1.151818 0.007662 -All Reads 52 278159 19653 24 1.070317 0.007635 -All Reads 53 263713 19395 24 1.114127 0.008 -All Reads 54 247317 19047 24 1.166673 0.008453 -All Reads 55 230663 17922 23 1.177023 0.008792 -All Reads 56 215458 16244 23 1.142107 0.008961 -All Reads 57 198515 14904 23 1.137329 0.009316 -All Reads 58 180718 13720 23 1.150083 0.009819 -All Reads 59 165914 11940 23 1.090179 0.009977 -All Reads 60 152561 10775 23 1.069917 0.010307 -All Reads 61 138857 9746 23 1.063249 0.01077 -All Reads 62 125804 9067 22 1.091807 0.011466 -All Reads 63 112222 7148 22 0.964902 0.011413 -All Reads 64 99218 6056 23 0.924638 0.011882 -All Reads 65 85414 5612 24 0.995326 0.013286 -All Reads 66 72999 4286 23 0.88943 0.013586 -All Reads 67 61396 3631 23 0.895907 0.014868 -All Reads 68 52109 3341 22 0.971271 0.016804 -All Reads 69 45121 2735 21 0.918238 0.017558 -All Reads 70 38925 1675 21 0.651873 0.015928 -All Reads 71 32225 1053 22 0.495008 0.015254 -All Reads 72 27537 721 22 0.396639 0.014772 -All Reads 73 23481 483 22 0.311607 0.014179 -All Reads 74 20300 423 22 0.315661 0.015348 -All Reads 75 17785 245 22 0.208684 0.013332 -All Reads 76 15846 236 22 0.225615 0.014686 -All Reads 77 13683 230 22 0.254638 0.01679 -All Reads 78 11733 217 23 0.280174 0.019019 -All Reads 79 10547 188 22 0.270026 0.019694 -All Reads 80 9314 151 22 0.245594 0.019986 -All Reads 81 7659 149 23 0.294707 0.024143 -All Reads 82 5813 56 25 0.145937 0.019502 -All Reads 83 4687 46 23 0.148676 0.021921 -All Reads 84 3505 18 23 0.077797 0.018337 -All Reads 85 2385 8 23 0.050813 0.017965 -All Reads 86 1424 5 21 0.053191 0.023788 -All Reads 87 859 3 20 0.052906 0.030545 -All Reads 88 529 0 0 0 0 -All Reads 89 411 0 0 0 0 -All Reads 90 348 0 0 0 0 -All Reads 91 138 0 0 0 0 -All Reads 92 40 0 0 0 0 -All Reads 93 7 0 0 0 0 -All Reads 94 7 0 0 0 0 -All Reads 95 12 0 0 0 0 -All Reads 96 17 0 0 0 0 -All Reads 97 8 0 0 0 0 -All Reads 98 9 0 0 0 0 -All Reads 99 5 0 0 0 0 -All Reads 100 30 0 0 0 0 - - diff -r 66f1187ed363 -r 4612d775965f test-data/cutadapt.txt --- a/test-data/cutadapt.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,129 +0,0 @@ -You are running cutadapt 1.6 with Python 2.7.3 -Command line parameters: --format=fastq --anywhere=fakadaptater=CACG --error-rate=0.1 --times=1 --overlap=3 --output=/omaha-beach/cloud_26/files/000/dataset_82.dat /omaha-beach/cloud_26/files/000/dataset_33.dat -Maximum error rate: 10.00% - No. of adapters: 1 - Processed reads: 316390 - Processed bases: 31955390 bp (32.0 Mbp) - Trimmed reads: 68795 (21.7%) - Trimmed bases: 3443775 bp (3.4 Mbp) (10.78% of total) - Too short reads: 0 (0.0% of processed reads) - Too long reads: 0 (0.0% of processed reads) - Total time: 5.28 s - Time per read: 0.017 ms - -=== Adapter 'fakadaptater' === - -Sequence: CACG; Length: 4; Trimmed: 68795 times. -2162 times, it overlapped the 5' end of a read -66633 times, it overlapped the 3' end or was within the read - -No. of allowed errors: -0-4 bp: 0 - -Overview of removed sequences (5') -length count expect max.err error counts -3 357 4943.6 0 357 -4 1805 1235.9 0 1805 - - -Overview of removed sequences (3' or within) -length count expect max.err error counts -3 4175 4943.6 0 4175 -4 520 1235.9 0 520 -5 442 1235.9 0 442 -6 522 1235.9 0 522 -7 538 1235.9 0 538 -8 526 1235.9 0 526 -9 482 1235.9 0 482 -10 547 1235.9 0 547 -11 502 1235.9 0 502 -12 539 1235.9 0 539 -13 571 1235.9 0 571 -14 601 1235.9 0 601 -15 537 1235.9 0 537 -16 592 1235.9 0 592 -17 604 1235.9 0 604 -18 617 1235.9 0 617 -19 594 1235.9 0 594 -20 493 1235.9 0 493 -21 558 1235.9 0 558 -22 503 1235.9 0 503 -23 573 1235.9 0 573 -24 609 1235.9 0 609 -25 653 1235.9 0 653 -26 625 1235.9 0 625 -27 541 1235.9 0 541 -28 501 1235.9 0 501 -29 618 1235.9 0 618 -30 539 1235.9 0 539 -31 614 1235.9 0 614 -32 594 1235.9 0 594 -33 627 1235.9 0 627 -34 572 1235.9 0 572 -35 690 1235.9 0 690 -36 615 1235.9 0 615 -37 654 1235.9 0 654 -38 681 1235.9 0 681 -39 530 1235.9 0 530 -40 731 1235.9 0 731 -41 622 1235.9 0 622 -42 611 1235.9 0 611 -43 722 1235.9 0 722 -44 664 1235.9 0 664 -45 659 1235.9 0 659 -46 651 1235.9 0 651 -47 591 1235.9 0 591 -48 642 1235.9 0 642 -49 545 1235.9 0 545 -50 573 1235.9 0 573 -51 591 1235.9 0 591 -52 567 1235.9 0 567 -53 749 1235.9 0 749 -54 647 1235.9 0 647 -55 753 1235.9 0 753 -56 696 1235.9 0 696 -57 780 1235.9 0 780 -58 607 1235.9 0 607 -59 758 1235.9 0 758 -60 643 1235.9 0 643 -61 578 1235.9 0 578 -62 670 1235.9 0 670 -63 652 1235.9 0 652 -64 816 1235.9 0 816 -65 732 1235.9 0 732 -66 640 1235.9 0 640 -67 644 1235.9 0 644 -68 818 1235.9 0 818 -69 658 1235.9 0 658 -70 587 1235.9 0 587 -71 672 1235.9 0 672 -72 588 1235.9 0 588 -73 645 1235.9 0 645 -74 668 1235.9 0 668 -75 725 1235.9 0 725 -76 651 1235.9 0 651 -77 701 1235.9 0 701 -78 662 1235.9 0 662 -79 655 1235.9 0 655 -80 760 1235.9 0 760 -81 746 1235.9 0 746 -82 705 1235.9 0 705 -83 704 1235.9 0 704 -84 726 1235.9 0 726 -85 692 1235.9 0 692 -86 700 1235.9 0 700 -87 758 1235.9 0 758 -88 640 1235.9 0 640 -89 665 1235.9 0 665 -90 848 1235.9 0 848 -91 693 1235.9 0 693 -92 775 1235.9 0 775 -93 1237 1235.9 0 1237 -94 629 1235.9 0 629 -95 574 1235.9 0 574 -96 525 1235.9 0 525 -97 586 1235.9 0 586 -98 696 1235.9 0 696 -99 860 1235.9 0 860 -100 851 1235.9 0 851 - diff -r 66f1187ed363 -r 4612d775965f test-data/fastqc_data.txt --- a/test-data/fastqc_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,2181 +0,0 @@ -##FastQC 0.11.4 ->>Basic Statistics pass -#Measure Value -Filename poulet5_1 -File type Conventional base calls -Encoding Sanger / Illumina 1.9 -Total Sequences 267849 -Sequences flagged as poor quality 0 -Sequence length 101 -%GC 48 ->>END_MODULE ->>Per base sequence quality warn -#Base Mean Median Lower Quartile Upper Quartile 10th Percentile 90th Percentile -1 20.91988023102569 21.0 21.0 21.0 21.0 21.0 -2 20.71684045861661 21.0 20.0 22.0 19.0 23.0 -3 20.351574954545285 21.0 20.0 21.0 18.0 22.0 -4 22.531542025544244 23.0 22.0 24.0 20.0 24.0 -5 24.673566076408722 25.0 24.0 26.0 24.0 26.0 -6 25.813099918237516 26.0 25.0 27.0 25.0 27.0 -7 27.587864804423386 28.0 27.0 29.0 26.0 29.0 -8 27.598941941168345 28.0 27.0 29.0 26.0 29.0 -9 27.07115949658203 28.0 26.0 28.0 26.0 28.0 -10-11 27.129873548155864 28.0 26.0 28.0 25.5 28.0 -12-13 27.009298149330405 27.5 26.0 28.0 25.5 28.0 -14-15 27.123565889736383 28.0 26.5 28.0 26.0 28.0 -16-17 27.086309823818645 28.0 26.0 28.0 26.0 28.0 -18-19 27.07924614241606 28.0 26.0 28.0 25.5 28.0 -20-21 27.082520375286073 28.0 26.0 28.0 26.0 28.0 -22-23 27.054301117420636 28.0 26.0 28.0 25.0 28.0 -24-25 27.06350966402712 28.0 26.0 28.0 25.0 28.0 -26-27 27.082996389756914 28.0 26.0 28.0 26.0 28.0 -28-29 27.065495857740743 28.0 26.0 28.0 25.5 28.0 -30-31 27.09608772106672 28.0 26.0 28.0 26.0 28.0 -32-33 27.087097581099798 28.0 26.0 28.0 26.0 28.0 -34-35 27.098251253504774 28.0 26.5 28.0 26.0 28.0 -36-37 27.05184077595959 28.0 26.0 28.0 25.5 28.0 -38-39 27.06521958267531 28.0 26.0 28.0 26.0 28.0 -40-41 27.072148859992012 28.0 26.0 28.0 26.0 28.0 -42-43 27.065725464720796 28.0 26.0 28.0 25.5 28.0 -44-45 27.07168031241483 28.0 26.5 28.0 25.5 28.0 -46-47 27.048083061725073 28.0 26.0 28.0 25.5 28.0 -48-49 27.04642354460909 28.0 26.0 28.0 25.5 28.0 -50-51 27.062865644448927 28.0 26.0 28.0 25.5 28.0 -52-53 27.01859629866081 28.0 26.0 28.0 25.0 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28.0 24.0 29.0 -94-95 25.503102494315826 27.5 26.0 28.0 22.5 29.0 -96-97 24.52807178671565 27.0 25.5 27.5 21.0 28.0 -98-99 23.202399486277717 26.0 24.5 26.5 10.0 27.0 -100-101 23.72906749698524 27.0 26.0 28.0 2.0 29.0 ->>END_MODULE ->>Per tile sequence quality pass -#Tile Base Mean -1101 1 0.017259946109469126 -1101 2 -0.13408255940416325 -1101 3 -0.11853598095770224 -1101 4 0.015421063929771606 -1101 5 -0.06886052494072459 -1101 6 -0.15241701542762698 -1101 7 -0.029853727500473326 -1101 8 0.04533865186875374 -1101 9 0.07102084333114078 -1101 10-11 0.02726717483210095 -1101 12-13 0.05147474989913192 -1101 14-15 -0.006227419450461014 -1101 16-17 0.051879075943595865 -1101 18-19 0.03525737425918152 -1101 20-21 0.012963832365290529 -1101 22-23 0.02506089814612622 -1101 24-25 0.07843149833360386 -1101 26-27 0.02737786083297422 -1101 28-29 0.005161107012540356 -1101 30-31 -0.08720467946375265 -1101 32-33 -0.017197404032327057 -1101 34-35 0.05763469947927646 -1101 36-37 -0.045600552109540615 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25.837318787824483 26.0995934276402 23.947074657736263 -78-79 24.028463798632814 26.152981717310876 25.835452064409424 23.98310241964689 -80-81 24.037984088049612 25.988336712102715 26.165115419508755 23.808563780338922 -82-83 24.09286575645233 25.723635331847422 26.134501155501795 24.048997756198457 -84-85 23.749388648081567 25.817531519624865 26.270771964801064 24.162307867492505 -86-87 23.906566759629495 26.199276458004324 26.24613121572229 23.648025566643895 -88-89 24.194788854914524 25.881373460419866 25.988710056785724 23.935127627879886 -90-91 24.30641891513502 25.716915127553207 25.838438821873517 24.13822713543825 -92-93 23.89331302338258 26.09231320632147 26.2431444582582 23.771229312037754 -94-95 24.343006694070166 25.78803728966694 25.850945868754412 24.018010147508484 -96-97 24.293351851229612 25.853745953877 25.936815145847103 23.916087049046293 -98-99 24.295965264010693 25.91702787764748 26.050311929482657 23.73669492885917 -100-101 24.65138940223783 25.744542634096078 25.755742974586425 23.848324989079668 ->>END_MODULE ->>Per sequence GC content pass -#GC Content Count -0 0.0 -1 0.0 -2 0.0 -3 0.0 -4 0.0 -5 0.0 -6 0.0 -7 0.0 -8 0.0 -9 0.0 -10 0.0 -11 0.0 -12 0.0 -13 0.0 -14 0.5 -15 2.0 -16 5.0 -17 7.5 -18 10.5 -19 15.5 -20 20.0 -21 28.5 -22 42.5 -23 63.0 -24 126.5 -25 228.0 -26 385.0 -27 545.0 -28 720.0 -29 1080.5 -30 1474.5 -31 1743.5 -32 2015.0 -33 2324.0 -34 2747.0 -35 3375.5 -36 3996.5 -37 4590.5 -38 5365.0 -39 6219.5 -40 7284.0 -41 8648.0 -42 9680.5 -43 10325.5 -44 10906.0 -45 11123.5 -46 11325.5 -47 12122.5 -48 12960.5 -49 13030.0 -50 12518.5 -51 11744.0 -52 10781.0 -53 10248.5 -54 10433.5 -55 9922.0 -56 8785.5 -57 7997.0 -58 6901.0 -59 5796.0 -60 4967.0 -61 4072.5 -62 3639.5 -63 3267.0 -64 2561.5 -65 2002.5 -66 1561.5 -67 1355.5 -68 1222.0 -69 1019.0 -70 803.0 -71 568.5 -72 371.5 -73 235.0 -74 164.5 -75 110.5 -76 70.5 -77 56.0 -78 39.5 -79 27.0 -80 18.0 -81 17.0 -82 15.5 -83 12.5 -84 6.5 -85 1.5 -86 0.0 -87 0.0 -88 0.0 -89 0.0 -90 0.0 -91 0.0 -92 0.0 -93 0.0 -94 0.0 -95 0.0 -96 0.0 -97 0.0 -98 0.0 -99 0.0 -100 0.0 ->>END_MODULE ->>Per base N content pass -#Base N-Count -1 0.029867574640935753 -2 0.0 -3 0.003733446830116969 -4 0.0 -5 3.733446830116969E-4 -6 0.0 -7 0.0 -8 0.0 -9 0.0 -10-11 0.0 -12-13 0.0 -14-15 0.0 -16-17 0.0 -18-19 0.0 -20-21 0.0 -22-23 0.0 -24-25 0.0 -26-27 0.0 -28-29 0.0 -30-31 0.0 -32-33 0.0 -34-35 0.0 -36-37 0.0 -38-39 0.0 -40-41 0.0 -42-43 0.0 -44-45 0.0 -46-47 0.0 -48-49 0.0 -50-51 0.0 -52-53 0.0 -54-55 0.0 -56-57 0.0 -58-59 0.0 -60-61 0.0 -62-63 0.0 -64-65 0.0 -66-67 0.0 -68-69 0.0 -70-71 0.0 -72-73 0.0 -74-75 0.0 -76-77 0.0 -78-79 0.0 -80-81 0.0 -82-83 0.0 -84-85 0.0 -86-87 0.0 -88-89 0.0 -90-91 0.0 -92-93 0.0 -94-95 0.0 -96-97 0.0 -98-99 0.0 -100-101 0.0 ->>END_MODULE ->>Sequence Length Distribution pass -#Length Count -101 267849.0 ->>END_MODULE ->>Sequence Duplication Levels warn -#Total Deduplicated Percentage 63.69408840068983 -#Duplication Level Percentage of deduplicated Percentage of total -1 81.5623716290639 51.950409087115126 -2 9.995611185249079 12.733226849043577 -3 3.1947144335386772 6.104532706343167 -4 1.4905270052149588 3.797510353351082 -5 0.8725392208870194 2.778779513412342 -6 0.55360835935223 2.115694786796508 -7 0.38537193434967776 1.718213983752925 -8 0.314619574221819 1.603152557845755 -9 0.2033036957962869 1.1654319215012086 ->10 1.4223398099582591 15.850860027094066 ->50 0.0049931523680946535 0.18218821374420768 ->100 0.0 0.0 ->500 0.0 0.0 ->1k 0.0 0.0 ->5k 0.0 0.0 ->10k+ 0.0 0.0 ->>END_MODULE ->>Overrepresented sequences pass ->>END_MODULE ->>Adapter Content pass -#Position Illumina Universal Adapter Illumina Small RNA Adapter Nextera Transposase Sequence SOLID Small RNA Adapter -1 0.0 0.0 0.0 0.0 -2 0.0 0.0 0.0 0.0 -3 0.0 0.0 0.0 0.0 -4 0.0 0.0 0.0 0.0 -5 0.0 0.0 0.0 0.0 -6 0.0 0.0 0.0 0.0 -7 0.0 0.0 0.0 0.0 -8 0.0 0.0 0.0 0.0 -9 0.0 0.0 0.0 0.0 -10-11 0.0 0.0 0.0 0.0 -12-13 0.0 0.0 0.0 0.0 -14-15 0.0 0.0 0.0 0.0 -16-17 0.0 0.0 0.0 0.0 -18-19 0.0 0.0 0.0 0.0 -20-21 0.0 0.0 0.0 0.0 -22-23 0.0 0.0 0.0 0.0 -24-25 0.0 0.0 0.0 0.0 -26-27 0.0 0.0 0.0 0.0 -28-29 0.0 0.0 0.0 0.0 -30-31 0.0 0.0 0.0 0.0 -32-33 0.0 0.0 0.0 0.0 -34-35 0.0 0.0 0.0 0.0 -36-37 0.0 0.0 0.0 0.0 -38-39 0.0 0.0 0.0 0.0 -40-41 0.0 0.0 0.0 0.0 -42-43 0.0 0.0 0.0 0.0 -44-45 0.0 0.0 0.0 0.0 -46-47 0.0 0.0 0.0 0.0 -48-49 0.0 0.0 0.0 0.0 -50-51 0.0 0.0 0.0 0.0 -52-53 0.0 0.0 0.0 0.0 -54-55 0.0 0.0 0.0 0.0 -56-57 0.0 0.0 0.0 0.0 -58-59 0.0 0.0 0.0 0.0 -60-61 0.0 0.0 0.0 0.0 -62-63 0.0 0.0 0.0 0.0 -64-65 0.0 0.0 0.0 0.0 -66-67 0.0 0.0 0.0 0.0 -68-69 0.0 0.0 0.0 0.0 -70-71 0.0 0.0 0.0 0.0 -72-73 0.0 0.0 0.0 0.0 -74-75 0.0 0.0 0.0 0.0 -76-77 0.0 0.0 0.0 0.0 -78-79 0.0 0.0 0.0 0.0 -80-81 0.0 0.0 0.0 0.0 -82-83 0.0 0.0 0.0 0.0 -84-85 0.0 0.0 0.0 0.0 -86-87 0.0 0.0 0.0 0.0 -88-89 0.0 0.0 0.0 0.0 ->>END_MODULE ->>Kmer Content warn -#Sequence Count PValue Obs/Exp Max Max Obs/Exp Position -TTAGTGG 50 0.0016122013 38.00672 3 -CCGGGAA 65 0.0058204937 29.246862 1 -CTCGCCA 65 0.0058204937 29.246862 1 -CCCGCTT 70 0.008357804 27.157803 1 -AACAATT 125 0.006013185 19.00336 2 -CTGGGAT 205 3.3062082E-4 16.228443 1 -AGTTCAA 195 0.0044498937 14.615241 5 -GAGTAGT 125 0.0014974214 13.29987 30-31 -AAGTTCA 220 0.009890434 12.954418 4 -CTGAAAT 275 0.003044474 12.097567 1 -CCCAGCT 405 3.2130985E-5 11.734852 1 -AGGGTGT 145 0.0045575905 11.465405 66-67 -CTGAATT 335 0.001024679 11.349529 1 -CTTGAAT 295 0.0051441877 11.277392 1 -GAATGTC 425 6.555659E-4 10.058724 4 -GGTAGTA 190 0.002949709 9.999902 52-53 -CTCTGCC 390 0.0036302158 9.748955 1 -CTCCTTT 535 5.356131E-4 8.883393 1 -CTTTGCT 500 0.0028739348 8.5547085 1 ->>END_MODULE diff -r 66f1187ed363 -r 4612d775965f test-data/fastqc_data_2.txt --- a/test-data/fastqc_data_2.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,2170 +0,0 @@ -##FastQC 0.11.4 ->>Basic Statistics pass -#Measure Value -Filename poulet5_2 -File type Conventional base calls -Encoding Sanger / Illumina 1.9 -Total Sequences 267849 -Sequences flagged as poor quality 0 -Sequence length 101 -%GC 48 ->>END_MODULE ->>Per base sequence quality warn -#Base Mean Median Lower Quartile Upper Quartile 10th Percentile 90th Percentile -1 20.590586487162543 21.0 21.0 21.0 20.0 21.0 -2 20.458478471078855 21.0 19.0 22.0 19.0 22.0 -3 20.178608096352797 21.0 20.0 21.0 18.0 22.0 -4 22.495204387546714 23.0 22.0 24.0 20.0 24.0 -5 24.59397272343746 25.0 24.0 26.0 24.0 26.0 -6 25.77560491172265 26.0 25.0 27.0 25.0 27.0 -7 26.651378201897337 27.0 26.0 28.0 26.0 28.0 -8 27.54968284369178 28.0 27.0 29.0 26.0 29.0 -9 27.089005372429988 28.0 26.0 28.0 26.0 28.0 -10-11 27.058984726469017 28.0 26.0 28.0 25.5 28.0 -12-13 26.954911162632676 27.5 26.0 28.0 25.5 28.0 -14-15 27.066410552214123 28.0 26.0 28.0 26.0 28.0 -16-17 27.04552938409328 28.0 26.0 28.0 25.5 28.0 -18-19 27.025118630273028 28.0 26.0 28.0 25.0 28.0 -20-21 27.019042445557012 28.0 26.0 28.0 25.0 28.0 -22-23 27.010315513591614 28.0 26.0 28.0 25.0 28.0 -24-25 27.03931879529138 28.0 26.0 28.0 25.5 28.0 -26-27 26.978450544896567 28.0 26.0 28.0 25.0 28.0 -28-29 27.003714779595967 28.0 26.0 28.0 25.0 28.0 -30-31 27.025971722873706 28.0 26.0 28.0 25.0 28.0 -32-33 27.017791740868923 28.0 26.0 28.0 25.0 28.0 -34-35 27.00628899118533 28.0 26.0 28.0 25.0 28.0 -36-37 27.00906294218011 28.0 26.0 28.0 25.0 28.0 -38-39 27.034922661648913 28.0 26.0 28.0 25.5 28.0 -40-41 27.005346295860726 28.0 26.0 28.0 25.0 28.0 -42-43 27.000909094303132 28.0 26.0 28.0 25.0 28.0 -44-45 27.004913216028434 28.0 26.0 28.0 25.0 28.0 -46-47 26.979999925331065 28.0 26.0 28.0 25.0 28.0 -48-49 26.941037674211962 27.5 26.0 28.0 25.0 28.0 -50-51 26.99995146519121 27.5 26.0 28.0 25.5 28.0 -52-53 26.95084543903468 27.5 26.0 28.0 25.0 28.0 -54-55 26.97609847339359 28.0 26.0 28.0 25.0 28.0 -56-57 26.99262270906369 27.5 26.0 28.0 25.0 28.0 -58-59 26.942271578389317 27.0 26.0 28.0 25.0 28.0 -60-61 26.88024222603034 27.0 26.0 28.0 25.0 28.0 -62-63 26.866450873439888 27.0 26.0 28.0 25.0 28.0 -64-65 26.947610407356386 28.0 26.0 28.0 25.0 28.0 -66-67 26.975012040366025 28.0 26.5 28.0 25.0 28.5 -68-69 26.966286975124042 28.0 26.5 28.0 25.0 29.0 -70-71 26.917634562757375 28.0 26.0 28.0 25.0 29.0 -72-73 26.885127441207544 28.0 26.0 28.0 25.0 29.0 -74-75 26.846286527110426 28.0 26.5 28.0 25.0 29.0 -76-77 26.769134848366058 28.0 26.0 28.0 25.0 29.0 -78-79 26.709703975000842 28.0 26.5 28.0 25.0 29.0 -80-81 26.551336760637525 27.5 26.0 28.0 25.0 28.5 -82-83 26.42626069165836 27.5 26.0 28.0 25.0 28.5 -84-85 26.309463541024982 27.5 26.0 28.0 25.0 29.0 -86-87 26.127226534353312 27.5 26.0 28.0 25.0 29.0 -88-89 25.91885539987082 27.5 26.0 28.0 24.0 29.0 -90-91 25.674260497519125 27.0 26.0 28.0 23.5 29.0 -92-93 25.371903572535274 27.0 26.0 28.0 22.0 29.0 -94-95 24.758753999454918 27.0 26.0 28.0 20.5 28.5 -96-97 23.84710415196622 26.5 25.0 27.5 7.0 28.0 -98-99 22.40618968149965 25.5 24.0 26.5 2.0 27.0 -100-101 23.009550156991438 27.0 25.0 28.0 2.0 29.0 ->>END_MODULE ->>Per tile sequence quality pass -#Tile Base Mean -1101 1 -0.1408369887985721 -1101 2 -0.019030947201084558 -1101 3 -0.060059442415557385 -1101 4 0.004085939732711097 -1101 5 -0.018429270835582656 -1101 6 -0.10404524639907464 -1101 7 0.05541229462318498 -1101 8 0.06703529503928962 -1101 9 0.0644374620344621 -1101 10-11 0.06977859906234585 -1101 12-13 0.048103685880093394 -1101 14-15 0.0848396420659725 -1101 16-17 0.030233298636137107 -1101 18-19 0.05253119669850648 -1101 20-21 0.08961672433820667 -1101 22-23 0.014190195653434046 -1101 24-25 -0.013817302849609803 -1101 26-27 0.046003756870838686 -1101 28-29 0.04599618351544166 -1101 30-31 0.04851104267937956 -1101 32-33 0.04656194043190354 -1101 34-35 0.057517795385400916 -1101 36-37 -0.00326392946157128 -1101 38-39 0.0753296536157606 -1101 40-41 0.005995075411309614 -1101 42-43 -0.013913414669129764 -1101 44-45 -0.03438241660346364 -1101 46-47 -0.028176852907705552 -1101 48-49 0.024338955929199102 -1101 50-51 0.028402595301869837 -1101 52-53 -0.014925605805846232 -1101 54-55 -0.039593664804112194 -1101 56-57 -0.02319294555917395 -1101 58-59 -0.05831481380350212 -1101 60-61 -0.007231705782142939 -1101 62-63 0.1346543703300931 -1101 64-65 0.019757339374642413 -1101 66-67 0.032473131921936016 -1101 68-69 0.06580901615117085 -1101 70-71 -5.192806625906599E-4 -1101 72-73 0.007598890765713406 -1101 74-75 0.018862762851210135 -1101 76-77 0.032333821260792206 -1101 78-79 0.012622327563921232 -1101 80-81 0.07758176267470418 -1101 82-83 0.0989714754431752 -1101 84-85 0.0737115932200112 -1101 86-87 0.1197152444492886 -1101 88-89 0.2945766871252822 -1101 90-91 0.39366183935213783 -1101 92-93 0.38892187749654283 -1101 94-95 0.4587836546800368 -1101 96-97 0.2815282150812948 -1101 98-99 0.27882391282161123 -1101 100-101 0.2642351714779956 -1102 1 -0.07975744334402535 -1102 2 -0.03332450286213273 -1102 3 -0.06284472012740139 -1102 4 0.0368379869674591 -1102 5 0.022244684777994905 -1102 6 0.04829943079057486 -1102 7 0.0964534173385907 -1102 8 0.12806291787337543 -1102 9 0.017503121896794482 -1102 10-11 0.09683028432225882 -1102 12-13 0.0801659040144358 -1102 14-15 0.09997323155090498 -1102 16-17 0.06881366001757883 -1102 18-19 0.10386227016159566 -1102 20-21 0.034994127613781956 -1102 22-23 0.08425050006833601 -1102 24-25 0.08546060185013005 -1102 26-27 0.1378511637068236 -1102 28-29 0.10893752578935434 -1102 30-31 0.10323748464472615 -1102 32-33 0.009366800389180696 -1102 34-35 0.06916329740296234 -1102 36-37 0.07905938527851575 -1102 38-39 0.0742726574135304 -1102 40-41 0.05207269231138412 -1102 42-43 0.08908437491074395 -1102 44-45 0.14235105716819518 -1102 46-47 0.04198358798952029 -1102 48-49 0.10279588982428223 -1102 50-51 0.12128845454706294 -1102 52-53 0.10804941199619833 -1102 54-55 0.0783485675718687 -1102 56-57 0.06077705800123567 -1102 58-59 0.12424141097693919 -1102 60-61 0.18279210444809735 -1102 62-63 0.061083725896200036 -1102 64-65 0.1318323156385901 -1102 66-67 0.1546303684517234 -1102 68-69 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0.07426758059220617 -2205 16-17 0.01356642338583569 -2205 18-19 0.05507487411140133 -2205 20-21 0.036903468431120245 -2205 22-23 0.0762177537231139 -2205 24-25 0.009551364551271035 -2205 26-27 0.15253784777992863 -2205 28-29 0.10881531647499187 -2205 30-31 0.028612164024995224 -2205 32-33 0.014316996499186274 -2205 34-35 0.06570261717154224 -2205 36-37 -4.543079157137697E-4 -2205 38-39 0.08738787347959942 -2205 40-41 0.03372835534723606 -2205 42-43 0.04313942373695667 -2205 44-45 0.012780428811034028 -2205 46-47 0.06853607760891833 -2205 48-49 0.017233554447418697 -2205 50-51 0.08502679434071325 -2205 52-53 0.08383040140280684 -2205 54-55 0.0600071061209988 -2205 56-57 0.07795968760061811 -2205 58-59 0.1132598257639792 -2205 60-61 0.16844473094192836 -2205 62-63 0.11071939836373446 -2205 64-65 -0.02475232221927115 -2205 66-67 0.007014456511441836 -2205 68-69 -0.050931071954554596 -2205 70-71 -0.056358162320577776 -2205 72-73 -0.00454067671526559 -2205 74-75 -0.019805514081106423 -2205 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-0.1268177493490974 -2206 90-91 0.0840994903639185 -2206 92-93 0.049042340851016775 -2206 94-95 0.011667665049515108 -2206 96-97 -0.30668311331898934 -2206 98-99 -0.12003516172787343 -2206 100-101 -0.35124872689107534 -2207 1 0.04672264277007443 -2207 2 -0.07478799290027283 -2207 3 -0.04056297749726667 -2207 4 -0.023018901739057185 -2207 5 0.0030151586584956647 -2207 6 -0.00920505900305102 -2207 7 -0.014252667701896371 -2207 8 -0.02466735443717738 -2207 9 -0.029335473184247007 -2207 10-11 -0.07181732519638473 -2207 12-13 -0.05318588501725685 -2207 14-15 -0.10456321657968459 -2207 16-17 0.04299980587755314 -2207 18-19 -0.10044441857696285 -2207 20-21 -0.06378625051256037 -2207 22-23 -0.05359178521553787 -2207 24-25 -0.11314285451807393 -2207 26-27 -0.10378615652577494 -2207 28-29 -0.11465279143318696 -2207 30-31 -0.08670889077790633 -2207 32-33 -0.04794797981469401 -2207 34-35 -0.1299088119147278 -2207 36-37 -0.08948353265170894 -2207 38-39 -0.1324496667678403 -2207 40-41 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-2208 1 0.04413199397088263 -2208 2 -0.04599013682685893 -2208 3 0.10622628629305098 -2208 4 -0.1795873865707982 -2208 5 -0.03979217804189972 -2208 6 -0.15720782604548944 -2208 7 0.003987072510646783 -2208 8 -0.09255340414405566 -2208 9 -0.12865040703131925 -2208 10-11 -0.05337887648283868 -2208 12-13 -0.018228596718849133 -2208 14-15 -0.07989732845363307 -2208 16-17 -0.08197349598829007 -2208 18-19 -0.1121384669917056 -2208 20-21 -0.08225126453373122 -2208 22-23 -0.10489311337465779 -2208 24-25 -0.02195371696609527 -2208 26-27 -0.07364675241750618 -2208 28-29 -0.11774871238333162 -2208 30-31 -0.08063393623114834 -2208 32-33 0.016073348939489307 -2208 34-35 -0.08692826940864151 -2208 36-37 -0.0809486306192504 -2208 38-39 -0.03269640534502116 -2208 40-41 -0.02708623123860221 -2208 42-43 -0.04256579172198727 -2208 44-45 -0.07993932452772157 -2208 46-47 -0.11637614282065556 -2208 48-49 -0.04728182056726027 -2208 50-51 -0.009324284802232796 -2208 52-53 0.002285311361884368 -2208 54-55 -0.05673026401438008 -2208 56-57 -0.011264212273701446 -2208 58-59 0.023189549922602026 -2208 60-61 0.006747782461594909 -2208 62-63 -0.01223016480407324 -2208 64-65 -0.046661881212273215 -2208 66-67 -0.07132451570437937 -2208 68-69 0.029777426812572116 -2208 70-71 0.022442864854774314 -2208 72-73 0.10966408864778998 -2208 74-75 0.04632324813345079 -2208 76-77 0.14521578751763542 -2208 78-79 0.1962500815350232 -2208 80-81 0.1328581974319505 -2208 82-83 0.16223498728917818 -2208 84-85 0.29698166748188015 -2208 86-87 0.34962135142227524 -2208 88-89 0.4342264392117947 -2208 90-91 0.3797608757426971 -2208 92-93 0.4508154149191341 -2208 94-95 0.48645938159379654 -2208 96-97 0.5017912165171694 -2208 98-99 0.6138457594966518 -2208 100-101 0.5558034486475201 ->>END_MODULE ->>Per sequence quality scores warn -#Quality Count -2 308.0 -3 0.0 -4 0.0 -5 2.0 -6 2.0 -7 5.0 -8 11.0 -9 19.0 -10 24.0 -11 37.0 -12 67.0 -13 75.0 -14 135.0 -15 215.0 -16 364.0 -17 551.0 -18 904.0 -19 1284.0 -20 1843.0 -21 2574.0 -22 3707.0 -23 5673.0 -24 9154.0 -25 18567.0 -26 152994.0 -27 69334.0 ->>END_MODULE ->>Per base sequence content fail -#Base G A T C -1 24.259742395586485 12.979270544437881 10.183447832489852 52.57753922748578 -2 18.617901052497956 21.439745518763136 40.641206097693015 19.30114733104589 -3 24.37754107724875 22.73930460819342 24.34692681324179 28.53622750131604 -4 24.41562223491594 30.088221348595663 20.10050438866675 25.395652027821647 -5 26.98610037745147 30.530261453281515 22.40926790841108 20.074370260855932 -6 21.71820690015643 32.48808097099485 23.803336954776757 21.990375174071957 -7 20.013888422208034 18.00865412975221 38.0975848332456 23.879872614794156 -8 20.609746536294704 21.85895784565184 29.885495185720313 27.645800432333147 -9 20.915142486998274 20.74116386471482 31.829127605479208 26.5145660428077 -10-11 24.97414588070144 29.204327811565474 22.19142128587376 23.630105021859332 -12-13 22.91160317940332 24.228949893410093 27.574118253194897 25.285328673991692 -14-15 23.741361737396815 25.36261102337511 26.722705703586726 24.17332153564135 -16-17 24.579147206075064 25.610138548211864 25.582884386352013 24.22782985936106 -18-19 24.019316853899024 25.60957853118735 25.727182106336034 24.643922508577596 -20-21 23.88827287016192 25.856546038999582 26.02679121445292 24.228389876385574 -22-23 23.961261755690707 26.122927470328435 25.75256954478083 24.163241229200032 -24-25 23.863818793424656 26.03985827835833 25.928974907503854 24.167348020713163 -26-27 23.84141811244395 26.16418205780122 26.033138074064116 23.961261755690707 -28-29 23.890326265918485 25.823318362211545 25.908814294621223 24.37754107724875 -30-31 23.84515155927407 25.788223962008445 25.969856150293637 24.39676832842385 -32-33 23.917393755436834 26.149621615163767 26.046018465628023 23.88696616377138 -34-35 24.097159220306963 26.049191895433623 25.611445254602405 24.24220362965701 -36-37 23.718027694708585 25.954922362973164 25.862706226269278 24.464343716048965 -38-39 23.9228072533405 25.979376439710432 26.10724699364194 23.990569313307127 -40-41 23.882672699916743 25.983296558882056 26.044338414554467 24.08969232664673 -42-43 23.787283133407257 26.000097069617585 25.91497448189092 24.297645315084246 -44-45 23.768055882232154 26.142154721503534 26.11620726603422 23.973582130230092 -46-47 23.956034930128542 26.0038305164477 25.79867761313277 24.241456940290984 -48-49 23.8716590317679 25.95436234594865 25.834892047384905 24.339086574898545 -50-51 23.940727798125064 26.11900735115681 25.965562686439004 23.974702164279126 -52-53 23.85952532957002 26.227277309230203 25.698807910427146 24.214389450772636 -54-55 23.936621006611936 25.95342898424112 25.899480677545935 24.210469331601015 -56-57 24.102199373527622 25.939801903311192 26.084286295636723 23.873712427524463 -58-59 24.02267695604613 26.216823658105877 25.769370055516355 23.991129330331642 -60-61 23.884726095673308 26.040978312407365 25.961455894925873 24.112839696993454 -62-63 23.794563354725984 26.08801974246684 26.275252100997204 23.842164801809975 -64-65 23.963688496130285 26.01055072074191 25.83302532396985 24.19273545915796 -66-67 23.792323286627916 25.963135945999426 25.901534073302496 24.343006694070166 -68-69 23.88509944035632 26.06225895933903 26.086713036076297 23.965928564228353 -70-71 23.78392303126015 26.232877479475373 25.739315808533913 24.243883680730562 -72-73 23.80445698882579 26.11751397242476 25.980869818442482 24.097159220306963 -74-75 23.956781619494567 26.278238858461293 26.054418720995788 23.710560801048352 -76-77 23.885659457380836 26.073085955146368 25.85971946880519 24.181535118667608 -78-79 23.94035445344205 26.194236304783665 25.794384149278137 24.071025092496146 -80-81 23.81640401868217 26.158021870531527 26.12890098525662 23.896673125529684 -82-83 23.995467587087475 25.704269391092353 26.116256017860845 24.18400700395933 -84-85 23.760588988571918 25.9592158268278 26.086339691393285 24.193855493206993 -86-87 23.802261352966323 26.35799715137475 26.019186219075337 23.82055527658359 -88-89 24.123840280759396 26.200414418786984 25.7484739308182 23.927271369635424 -90-91 24.09603918625793 25.911801052085316 25.786170566251883 24.20598919540487 -92-93 23.827497890578915 26.454007153364245 25.948866139498072 23.769628816558768 -94-95 24.156707697247327 25.997670329178007 25.765076591661717 24.080545381912945 -96-97 24.214576123114142 26.079246142416064 25.670433714518254 24.03574401995154 -98-99 24.170334778177256 26.024551146354852 25.918147911696515 23.88696616377138 -100-101 24.662260557858183 25.864978902953588 25.310294611851685 24.162465927336545 ->>END_MODULE ->>Per sequence GC content pass -#GC Content Count -0 0.0 -1 0.0 -2 0.0 -3 0.0 -4 0.0 -5 0.0 -6 0.0 -7 0.0 -8 0.0 -9 0.0 -10 0.0 -11 0.0 -12 0.0 -13 0.0 -14 0.5 -15 2.5 -16 5.0 -17 6.0 -18 9.5 -19 18.0 -20 26.0 -21 35.5 -22 46.0 -23 71.0 -24 130.0 -25 233.5 -26 389.5 -27 542.5 -28 724.5 -29 1063.0 -30 1433.0 -31 1683.5 -32 1996.0 -33 2367.5 -34 2840.5 -35 3318.0 -36 3924.5 -37 4721.0 -38 5510.0 -39 6259.0 -40 7364.0 -41 8736.0 -42 9608.5 -43 10256.0 -44 10928.5 -45 11153.5 -46 11271.5 -47 12042.0 -48 12804.5 -49 12874.0 -50 12482.5 -51 11758.0 -52 10827.0 -53 10433.0 -54 10615.0 -55 9955.0 -56 8760.0 -57 7986.5 -58 6982.5 -59 5802.5 -60 4913.5 -61 4177.5 -62 3751.5 -63 3282.0 -64 2533.0 -65 1954.0 -66 1513.0 -67 1247.5 -68 1102.0 -69 957.0 -70 777.0 -71 535.5 -72 361.5 -73 253.0 -74 157.0 -75 99.0 -76 60.0 -77 46.5 -78 37.0 -79 21.5 -80 13.5 -81 16.5 -82 19.5 -83 14.0 -84 6.5 -85 3.0 -86 0.5 -87 0.0 -88 0.0 -89 0.0 -90 0.0 -91 0.0 -92 0.0 -93 0.0 -94 0.0 -95 0.0 -96 0.0 -97 0.0 -98 0.0 -99 0.0 -100 0.0 ->>END_MODULE ->>Per base N content pass -#Base N-Count -1 0.11461681768459094 -2 0.003733446830116969 -3 0.0 -4 0.0 -5 0.0 -6 0.0 -7 0.0 -8 0.0 -9 0.0 -10-11 0.0 -12-13 0.0 -14-15 0.0 -16-17 0.0 -18-19 0.0 -20-21 0.0 -22-23 0.0 -24-25 0.0 -26-27 0.0 -28-29 0.0 -30-31 0.0 -32-33 0.0 -34-35 0.0 -36-37 0.0 -38-39 0.0 -40-41 0.0 -42-43 0.0 -44-45 0.0 -46-47 0.0 -48-49 0.0 -50-51 0.0 -52-53 0.0 -54-55 0.0 -56-57 0.0 -58-59 0.0 -60-61 0.0 -62-63 0.0 -64-65 0.0 -66-67 0.0 -68-69 0.0 -70-71 0.0 -72-73 0.0 -74-75 0.0 -76-77 0.0 -78-79 0.0 -80-81 0.0 -82-83 1.8667234150584845E-4 -84-85 0.0 -86-87 1.8667234150584845E-4 -88-89 0.0014933787320467876 -90-91 0.0 -92-93 0.0011200340490350907 -94-95 0.0 -96-97 0.0 -98-99 0.0 -100-101 0.01456044263745618 ->>END_MODULE ->>Sequence Length Distribution pass -#Length Count -101 267849.0 ->>END_MODULE ->>Sequence Duplication Levels warn -#Total Deduplicated Percentage 63.826611251945884 -#Duplication Level Percentage of deduplicated Percentage of total -1 81.66283073871745 52.122617512935754 -2 9.894108596885154 12.630148461958491 -3 3.18062640137576 6.090258145748586 -4 1.5566170090070461 3.974143548082379 -5 0.8538567368205473 2.7249391002950074 -6 0.5533319107768025 2.119038045746843 -7 0.3960736941041749 1.7696029190496514 -8 0.2698969625036296 1.3781286803040145 -9 0.23212846037984958 1.3334375701059644 ->10 1.3969694370078172 15.730893862039416 ->50 0.0035600524217624095 0.12679215373389083 ->100 0.0 0.0 ->500 0.0 0.0 ->1k 0.0 0.0 ->5k 0.0 0.0 ->10k+ 0.0 0.0 ->>END_MODULE ->>Overrepresented sequences pass ->>END_MODULE ->>Adapter Content pass -#Position Illumina Universal Adapter Illumina Small RNA Adapter Nextera Transposase Sequence SOLID Small RNA Adapter -1 0.0 0.0 0.0 0.0 -2 0.0 0.0 0.0 0.0 -3 0.0 0.0 0.0 0.0 -4 0.0 0.0 0.0 0.0 -5 0.0 0.0 0.0 0.0 -6 0.0 0.0 0.0 0.0 -7 0.0 0.0 0.0 0.0 -8 0.0 0.0 0.0 0.0 -9 0.0 0.0 0.0 0.0 -10-11 0.0 0.0 0.0 0.0 -12-13 0.0 0.0 0.0 0.0 -14-15 0.0 0.0 0.0 0.0 -16-17 0.0 0.0 0.0 0.0 -18-19 0.0 0.0 0.0 0.0 -20-21 0.0 0.0 0.0 0.0 -22-23 0.0 0.0 0.0 0.0 -24-25 0.0 0.0 0.0 0.0 -26-27 0.0 0.0 0.0 0.0 -28-29 0.0 0.0 0.0 0.0 -30-31 0.0 0.0 0.0 0.0 -32-33 0.0 0.0 0.0 0.0 -34-35 0.0 0.0 0.0 0.0 -36-37 0.0 0.0 0.0 0.0 -38-39 0.0 0.0 0.0 0.0 -40-41 0.0 0.0 0.0 0.0 -42-43 0.0 0.0 0.0 0.0 -44-45 0.0 0.0 0.0 0.0 -46-47 0.0 0.0 0.0 0.0 -48-49 0.0 0.0 0.0 0.0 -50-51 0.0 0.0 0.0 0.0 -52-53 0.0 0.0 0.0 0.0 -54-55 0.0 0.0 0.0 0.0 -56-57 0.0 0.0 0.0 0.0 -58-59 0.0 0.0 0.0 0.0 -60-61 0.0 0.0 0.0 0.0 -62-63 0.0 0.0 0.0 0.0 -64-65 0.0 0.0 0.0 0.0 -66-67 0.0 0.0 0.0 0.0 -68-69 0.0 0.0 0.0 0.0 -70-71 0.0 0.0 0.0 0.0 -72-73 0.0 0.0 0.0 0.0 -74-75 0.0 0.0 0.0 0.0 -76-77 0.0 0.0 0.0 0.0 -78-79 0.0 0.0 0.0 0.0 -80-81 0.0 0.0 0.0 0.0 -82-83 0.0 0.0 0.0 0.0 -84-85 0.0 0.0 0.0 0.0 -86-87 0.0 0.0 0.0 0.0 -88-89 0.0 0.0 0.0 0.0 ->>END_MODULE ->>Kmer Content warn -#Sequence Count PValue Obs/Exp Max Max Obs/Exp Position -TACGAGG 60 0.0039460836 31.665857 9 -CCCAGAT 105 6.861368E-5 27.157375 1 -AATCAAC 70 0.008381328 27.142164 5 -CTTGTAT 120 0.004739449 19.802252 1 -TCGCTCA 130 0.007549489 18.268764 2 -CCCCACT 195 0.0044338168 14.623201 1 -TTCAACA 295 0.005166332 11.270898 2 -CTTGAAG 305 0.006593838 10.90747 1 ->>END_MODULE diff -r 66f1187ed363 -r 4612d775965f test-data/featurecounts_data.txt --- a/test-data/featurecounts_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,12 +0,0 @@ -Status 70: TopHat on data 1, data 4, and data 3: accepted_hits 75: TopHat on data 1, data 6, and data 5: accepted_hits 80: TopHat on data 1, data 8, and data 7: accepted_hits 85: TopHat on data 1, data 10, and data 9: accepted_hits 90: TopHat on data 1, data 12, and data 11: accepted_hits 95: TopHat on data 1, data 14, and data 13: accepted_hits -Assigned 321797 445012 394981 437485 388170 453929 -Unassigned_Ambiguity 2333 3424 3121 3692 2782 3554 -Unassigned_MultiMapping 19123 25293 22580 19907 21164 23533 -Unassigned_NoFeatures 111117 165786 129664 146327 132063 160805 -Unassigned_Unmapped 0 0 0 0 0 0 -Unassigned_MappingQuality 0 0 0 0 0 0 -Unassigned_FragmentLength 0 0 0 0 0 0 -Unassigned_Chimera 0 0 0 0 0 0 -Unassigned_Secondary 0 0 0 0 0 0 -Unassigned_Nonjunction 0 0 0 0 0 0 -Unassigned_Duplicate 0 0 0 0 0 0 diff -r 66f1187ed363 -r 4612d775965f test-data/log_all.txt --- a/test-data/log_all.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,47 +0,0 @@ -[2016-05-23 10:05:37,586] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 10:05:37,587] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 10:05:37,587] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/107/working -[2016-05-23 10:05:37,587] multiqc [DEBUG ] Template : default -[2016-05-23 10:05:37,587] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 10:05:37,587] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 10:05:37,587] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 10:05:37,744] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 10:05:37,744] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 10:05:37,744] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpmeCIjG -[2016-05-23 10:05:37,752] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:05:37,754] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:37,757] multiqc.modules.featureCounts.feature_counts [INFO ] Found 6 reports -[2016-05-23 10:05:37,760] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:37,839] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:37,987] multiqc.modules.picard.picard [INFO ] Found 1 dupMetrics reports -[2016-05-23 10:05:37,988] multiqc.modules.picard.picard [INFO ] Found 1 insertSize reports -[2016-05-23 10:05:37,993] multiqc.modules.picard.picard [INFO ] Found 1 GCbias reports -[2016-05-23 10:05:38,017] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 10:05:38,042] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:05:38,079] multiqc.modules.samtools.samtools [INFO ] Found 1 reports -[2016-05-23 10:05:38,104] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:38,111] multiqc.modules.bismark.bismark [INFO ] Found 1 bismark alignment reports -[2016-05-23 10:05:38,114] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 10:05:38,116] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 10:05:38,118] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:38,121] multiqc.modules.tophat.tophat [INFO ] Found 1 reports -[2016-05-23 10:05:38,146] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:38,170] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:38,196] multiqc.modules.cutadapt.cutadapt [INFO ] Found 1 reports -[2016-05-23 10:05:38,221] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 10:05:38,244] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:05:38,246] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:05:38,313] multiqc.modules.fastqc.fastqc [INFO ] Found 2 reports -[2016-05-23 10:05:38,318] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 10:05:38,318] multiqc [INFO ] Data : multiqc_data -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_fastqc.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_picard_dups.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_bismark_alignment.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_cutadapt.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_samtools.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,319] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_picard_insertSize.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,320] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,320] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_featureCounts.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,320] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpmeCIjG/multiqc_data/multiqc_tophat.txt.txt' to '/root/galaxy/database/jobs_directory/000/107/working/multiqc_data' -[2016-05-23 10:05:38,395] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_bismark.txt --- a/test-data/log_bismark.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,44 +0,0 @@ -[2016-05-23 09:52:41,602] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 09:52:41,602] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 09:52:41,602] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/104/working -[2016-05-23 09:52:41,602] multiqc [DEBUG ] Template : default -[2016-05-23 09:52:41,602] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 09:52:41,602] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 09:52:41,603] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 09:52:41,732] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 09:52:41,732] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 09:52:41,732] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpJtZqxl -[2016-05-23 09:52:41,739] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:52:41,743] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,746] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,748] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,756] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,760] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,762] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 09:52:41,765] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:52:41,768] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,771] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,779] multiqc.modules.bismark.bismark [INFO ] Found 1 bismark alignment reports -[2016-05-23 09:52:41,783] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 09:52:41,786] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 09:52:41,789] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,792] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,794] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,797] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,800] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,803] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 09:52:41,806] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:52:41,809] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,812] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:52:41,812] multiqc.plots.table [DEBUG ] Removing header percent_cpg_meth from general stats table, as no data -[2016-05-23 09:52:41,812] multiqc.plots.table [DEBUG ] Removing header percent_chg_meth from general stats table, as no data -[2016-05-23 09:52:41,812] multiqc.plots.table [DEBUG ] Removing header percent_chh_meth from general stats table, as no data -[2016-05-23 09:52:41,813] multiqc.plots.table [DEBUG ] Removing header total_c from general stats table, as no data -[2016-05-23 09:52:41,813] multiqc.plots.table [DEBUG ] Removing header dup_reads_percent from general stats table, as no data -[2016-05-23 09:52:41,813] multiqc.plots.table [DEBUG ] Removing header dedup_reads from general stats table, as no data -[2016-05-23 09:52:41,813] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 09:52:41,813] multiqc [INFO ] Data : multiqc_data -[2016-05-23 09:52:41,814] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpJtZqxl/multiqc_data/multiqc_bismark_alignment.txt' to '/root/galaxy/database/jobs_directory/000/104/working/multiqc_data' -[2016-05-23 09:52:41,814] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpJtZqxl/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/104/working/multiqc_data' -[2016-05-23 09:52:41,814] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpJtZqxl/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/104/working/multiqc_data' -[2016-05-23 09:52:41,907] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_cutadapt.txt --- a/test-data/log_cutadapt.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,39 +0,0 @@ -[2016-05-23 10:04:17,236] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 10:04:17,236] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 10:04:17,236] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/106/working -[2016-05-23 10:04:17,236] multiqc [DEBUG ] Template : default -[2016-05-23 10:04:17,236] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 10:04:17,236] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 10:04:17,236] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 10:04:17,383] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 10:04:17,383] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 10:04:17,383] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpqOU4l7 -[2016-05-23 10:04:17,390] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:04:17,392] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,394] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,395] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,400] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,403] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,405] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 10:04:17,406] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:04:17,408] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,410] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,413] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,414] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 10:04:17,416] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 10:04:17,418] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,420] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,422] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,424] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,429] multiqc.modules.cutadapt.cutadapt [INFO ] Found 1 reports -[2016-05-23 10:04:17,431] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 10:04:17,433] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 10:04:17,435] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,437] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 10:04:17,437] multiqc.plots.table [DEBUG ] Removing header percent_trimmed from general stats table, as no data -[2016-05-23 10:04:17,438] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 10:04:17,438] multiqc [INFO ] Data : multiqc_data -[2016-05-23 10:04:17,438] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpqOU4l7/multiqc_data/multiqc_cutadapt.txt' to '/root/galaxy/database/jobs_directory/000/106/working/multiqc_data' -[2016-05-23 10:04:17,438] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpqOU4l7/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/106/working/multiqc_data' -[2016-05-23 10:04:17,438] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpqOU4l7/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/106/working/multiqc_data' -[2016-05-23 10:04:17,517] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_fastqc.txt --- a/test-data/log_fastqc.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,38 +0,0 @@ -[2016-05-23 08:53:43,440] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 08:53:43,440] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 08:53:43,440] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/87/working -[2016-05-23 08:53:43,440] multiqc [DEBUG ] Template : default -[2016-05-23 08:53:43,440] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 08:53:43,441] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 08:53:43,441] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 08:53:43,564] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 08:53:43,564] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 08:53:43,564] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpzTj1_Q -[2016-05-23 08:53:43,571] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:53:43,573] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,575] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,576] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,589] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,605] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,609] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 08:53:43,614] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:53:43,618] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,623] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,625] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,627] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 08:53:43,629] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 08:53:43,631] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,633] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,637] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,642] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,646] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,651] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 08:53:43,655] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:53:43,657] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:53:43,697] multiqc.modules.fastqc.fastqc [INFO ] Found 1 reports -[2016-05-23 08:53:43,702] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 08:53:43,702] multiqc [INFO ] Data : multiqc_data -[2016-05-23 08:53:43,702] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpzTj1_Q/multiqc_data/multiqc_fastqc.txt' to '/root/galaxy/database/jobs_directory/000/87/working/multiqc_data' -[2016-05-23 08:53:43,702] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpzTj1_Q/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/87/working/multiqc_data' -[2016-05-23 08:53:43,702] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpzTj1_Q/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/87/working/multiqc_data' -[2016-05-23 08:53:43,780] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_fastqc_2.txt --- a/test-data/log_fastqc_2.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,38 +0,0 @@ -[2016-05-23 08:57:23,478] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 08:57:23,478] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 08:57:23,478] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/88/working -[2016-05-23 08:57:23,478] multiqc [DEBUG ] Template : default -[2016-05-23 08:57:23,478] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 08:57:23,479] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 08:57:23,479] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 08:57:23,642] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 08:57:23,642] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 08:57:23,642] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpNoiZ9V -[2016-05-23 08:57:23,648] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:57:23,650] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,652] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,653] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,678] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,706] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,712] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 08:57:23,719] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:57:23,726] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,733] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,735] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,737] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 08:57:23,739] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 08:57:23,741] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,742] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,749] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,756] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,762] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,769] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 08:57:23,776] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:57:23,777] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:57:23,842] multiqc.modules.fastqc.fastqc [INFO ] Found 2 reports -[2016-05-23 08:57:23,846] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 08:57:23,846] multiqc [INFO ] Data : multiqc_data -[2016-05-23 08:57:23,846] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpNoiZ9V/multiqc_data/multiqc_fastqc.txt' to '/root/galaxy/database/jobs_directory/000/88/working/multiqc_data' -[2016-05-23 08:57:23,846] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpNoiZ9V/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/88/working/multiqc_data' -[2016-05-23 08:57:23,846] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpNoiZ9V/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/88/working/multiqc_data' -[2016-05-23 08:57:23,919] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_featurecounts.txt --- a/test-data/log_featurecounts.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,38 +0,0 @@ -[2016-05-23 08:51:46,431] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 08:51:46,431] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 08:51:46,431] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/86/working -[2016-05-23 08:51:46,431] multiqc [DEBUG ] Template : default -[2016-05-23 08:51:46,431] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 08:51:46,431] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 08:51:46,432] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 08:51:46,492] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 08:51:46,492] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 08:51:46,492] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpl8m33T -[2016-05-23 08:51:46,498] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:51:46,500] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,502] multiqc.modules.featureCounts.feature_counts [INFO ] Found 6 reports -[2016-05-23 08:51:46,505] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,508] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,510] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,512] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 08:51:46,513] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:51:46,515] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,516] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,519] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,520] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 08:51:46,522] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 08:51:46,524] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,526] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,527] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,529] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,531] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,532] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 08:51:46,534] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:51:46,535] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,537] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:51:46,538] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 08:51:46,538] multiqc [INFO ] Data : multiqc_data -[2016-05-23 08:51:46,538] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpl8m33T/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/86/working/multiqc_data' -[2016-05-23 08:51:46,539] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpl8m33T/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/86/working/multiqc_data' -[2016-05-23 08:51:46,539] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpl8m33T/multiqc_data/multiqc_featureCounts.txt' to '/root/galaxy/database/jobs_directory/000/86/working/multiqc_data' -[2016-05-23 08:51:46,610] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_picard.txt --- a/test-data/log_picard.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,41 +0,0 @@ -[2016-05-23 09:33:33,915] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 09:33:33,915] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 09:33:33,916] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/97/working -[2016-05-23 09:33:33,916] multiqc [DEBUG ] Template : default -[2016-05-23 09:33:33,916] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 09:33:33,916] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 09:33:33,916] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 09:33:34,048] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 09:33:34,049] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 09:33:34,049] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmp4Zyt3V -[2016-05-23 09:33:34,056] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:33:34,057] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,059] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,061] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,069] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,083] multiqc.modules.picard.picard [INFO ] Found 1 dupMetrics reports -[2016-05-23 09:33:34,083] multiqc.modules.picard.picard [INFO ] Found 1 insertSize reports -[2016-05-23 09:33:34,088] multiqc.modules.picard.picard [INFO ] Found 1 GCbias reports -[2016-05-23 09:33:34,091] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 09:33:34,094] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:33:34,097] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,100] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,102] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,104] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 09:33:34,106] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 09:33:34,108] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,110] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,113] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,116] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,118] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,121] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 09:33:34,124] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:33:34,126] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,128] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:33:34,129] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 09:33:34,129] multiqc [INFO ] Data : multiqc_data -[2016-05-23 09:33:34,130] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmp4Zyt3V/multiqc_data/multiqc_picard_dups.txt' to '/root/galaxy/database/jobs_directory/000/97/working/multiqc_data' -[2016-05-23 09:33:34,130] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmp4Zyt3V/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/97/working/multiqc_data' -[2016-05-23 09:33:34,130] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmp4Zyt3V/multiqc_data/multiqc_picard_insertSize.txt' to '/root/galaxy/database/jobs_directory/000/97/working/multiqc_data' -[2016-05-23 09:33:34,130] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmp4Zyt3V/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/97/working/multiqc_data' -[2016-05-23 09:33:34,206] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_samtools.txt --- a/test-data/log_samtools.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,38 +0,0 @@ -[2016-05-23 09:14:29,851] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 09:14:29,851] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 09:14:29,851] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/89/working -[2016-05-23 09:14:29,851] multiqc [DEBUG ] Template : default -[2016-05-23 09:14:29,851] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 09:14:29,851] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 09:14:29,851] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 09:14:29,979] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 09:14:29,979] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 09:14:29,979] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpbM5r93 -[2016-05-23 09:14:29,986] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:14:29,988] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:29,989] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:29,991] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,048] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,107] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,120] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 09:14:30,132] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:14:30,157] multiqc.modules.samtools.samtools [INFO ] Found 1 reports -[2016-05-23 09:14:30,170] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,173] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,175] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 09:14:30,177] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 09:14:30,178] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,180] multiqc.modules.tophat.tophat [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,193] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,205] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,218] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,230] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 09:14:30,242] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 09:14:30,244] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,246] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 09:14:30,247] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 09:14:30,247] multiqc [INFO ] Data : multiqc_data -[2016-05-23 09:14:30,247] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpbM5r93/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/89/working/multiqc_data' -[2016-05-23 09:14:30,247] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpbM5r93/multiqc_data/multiqc_samtools.txt' to '/root/galaxy/database/jobs_directory/000/89/working/multiqc_data' -[2016-05-23 09:14:30,247] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpbM5r93/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/89/working/multiqc_data' -[2016-05-23 09:14:30,322] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/log_tophat.txt --- a/test-data/log_tophat.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,38 +0,0 @@ -[2016-05-23 08:46:00,804] multiqc [INFO ] This is MultiQC v0.6 -[2016-05-23 08:46:00,804] multiqc [DEBUG ] Command : /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/bin/multiqc multiqc_WDir -[2016-05-23 08:46:00,804] multiqc [DEBUG ] Working dir : /root/galaxy/database/jobs_directory/000/85/working -[2016-05-23 08:46:00,804] multiqc [DEBUG ] Template : default -[2016-05-23 08:46:00,804] multiqc [DEBUG ] No MultiQC config found: /root/dependencies/multiqc/0.6/cmonjeau/package_multiqc_0_6/021c59fc29be/lib/python/multiqc-0.6-py2.7.egg/multiqc_config.yaml -[2016-05-23 08:46:00,804] multiqc [DEBUG ] No MultiQC config found: /root/.multiqc_config.yaml -[2016-05-23 08:46:00,804] multiqc [DEBUG ] No MultiQC config found: multiqc_config.yaml -[2016-05-23 08:46:00,928] multiqc [INFO ] Searching 'multiqc_WDir' -[2016-05-23 08:46:00,928] multiqc [DEBUG ] Analysing modules: snpeff, qualimap, featureCounts, methylQA, rseqc, picard, preseq, samblaster, samtools, bamtools, bismark, hicup, salmon, star, tophat, bowtie2, bowtie1, cutadapt, trimmomatic, skewer, fastq_screen, fastqc -[2016-05-23 08:46:00,928] multiqc [DEBUG ] Using temporary directory for creating report: /root/galaxy/database/tmp/tmpTu_Bvi -[2016-05-23 08:46:00,935] multiqc.modules.snpeff.snpeff [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:46:00,937] multiqc.modules.qualimap.qualimap [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,939] multiqc.modules.featureCounts.feature_counts [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,940] multiqc.modules.methylQA.methylQA [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,944] multiqc.modules.rseqc.rseqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,946] multiqc.modules.picard.picard [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,948] multiqc.modules.preseq.preseq [DEBUG ] Could not find any preseq data in ('multiqc_WDir',) -[2016-05-23 08:46:00,950] multiqc.modules.samblaster.samblaster [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:46:00,951] multiqc.modules.samtools.samtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,953] multiqc.modules.bamtools.bamtools [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,956] multiqc.modules.bismark.bismark [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,957] multiqc.modules.hicup.hicup [DEBUG ] Could not find any HiCUP data in ('multiqc_WDir',) -[2016-05-23 08:46:00,959] multiqc.modules.salmon.salmon [DEBUG ] Could not find any Salmon data in ('multiqc_WDir',) -[2016-05-23 08:46:00,961] multiqc.modules.star.star [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,964] multiqc.modules.tophat.tophat [INFO ] Found 1 reports -[2016-05-23 08:46:00,966] multiqc.modules.bowtie2.bowtie2 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,968] multiqc.modules.bowtie1.bowtie1 [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,970] multiqc.modules.cutadapt.cutadapt [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,971] multiqc.modules.trimmomatic.trimmomatic [DEBUG ] Could not find any Trimmomatic data in ('multiqc_WDir',) -[2016-05-23 08:46:00,973] multiqc.modules.skewer.skewer [DEBUG ] Could not find any data in ('multiqc_WDir',) -[2016-05-23 08:46:00,975] multiqc.modules.fastq_screen.fastq_screen [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,977] multiqc.modules.fastqc.fastqc [DEBUG ] Could not find any reports in ('multiqc_WDir',) -[2016-05-23 08:46:00,977] multiqc [INFO ] Report : multiqc_report.html -[2016-05-23 08:46:00,978] multiqc [INFO ] Data : multiqc_data -[2016-05-23 08:46:00,978] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpTu_Bvi/multiqc_data/multiqc_general_stats.txt' to '/root/galaxy/database/jobs_directory/000/85/working/multiqc_data' -[2016-05-23 08:46:00,978] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpTu_Bvi/multiqc_data/multiqc_sources.txt' to '/root/galaxy/database/jobs_directory/000/85/working/multiqc_data' -[2016-05-23 08:46:00,978] multiqc [DEBUG ] Moving data file from '/root/galaxy/database/tmp/tmpTu_Bvi/multiqc_data/multiqc_tophat.txt.txt' to '/root/galaxy/database/jobs_directory/000/85/working/multiqc_data' -[2016-05-23 08:46:01,051] multiqc [INFO ] MultiQC complete diff -r 66f1187ed363 -r 4612d775965f test-data/report_all.html --- a/test-data/report_all.html Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,4440 +0,0 @@ - - - - - - - - - - - - -MultiQC Report - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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                                                                                            If you use plots from MultiQC in a publication or presentation, please cite:
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                                                                                            A modular tool to aggregate results from bioinformatics - analyses across many samples into a single report.

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                                                                                            Report generated on 2016-05-23, 10:05 based on data in: - /root/galaxy/database/jobs_directory/000/107/working/multiqc_WDir - -

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                                                                                            General Statistics

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                                                                                            Sample Name% AssignedM Assigned% DupsInsert SizeFold EnrichmentTarget Bases 30XCCG OxidationM Total seqsM Reads MappedM Non-Primary AlignmentsError rate% mCpG% mCHG% mCHHM C's% DupsM UniqueM Aligned% Aligned% AlignedM Aligned% Trimmed% Dups% GCLengthM Seqs
                                                                                            70__TopHat_on_data_1,_data_4,_and_data_3__accepted_hits
                                                                                            70.8%
                                                                                            0.3
                                                                                            75__TopHat_on_data_1,_data_6,_and_data_5__accepted_hits
                                                                                            69.6%
                                                                                            0.4
                                                                                            80__TopHat_on_data_1,_data_8,_and_data_7__accepted_hits
                                                                                            71.8%
                                                                                            0.4
                                                                                            85__TopHat_on_data_1,_data_10,_and_data_9__accepted_hits
                                                                                            72.0%
                                                                                            0.4
                                                                                            90__TopHat_on_data_1,_data_12,_and_data_11__accepted_hits
                                                                                            71.3%
                                                                                            0.4
                                                                                            95__TopHat_on_data_1,_data_14,_and_data_13__accepted_hits
                                                                                            70.7%
                                                                                            0.5
                                                                                            Bismark Report_SE_report
                                                                                            0.2
                                                                                            69.7%
                                                                                            Stats on data 1 and data 95
                                                                                            0.6
                                                                                            0.6
                                                                                            0.0
                                                                                            0.42%
                                                                                            TopHat on data 1, data 14, and data 13: align_summary
                                                                                            99.5%
                                                                                            0.3
                                                                                            dataset_114.dat]
                                                                                            0.6%
                                                                                            dataset_197.dat
                                                                                            176
                                                                                            poulet5_1
                                                                                            36.3%
                                                                                            48%
                                                                                            101
                                                                                            0.3
                                                                                            poulet5_2
                                                                                            36.2%
                                                                                            48%
                                                                                            101
                                                                                            0.3
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                                                                                            featureCounts

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                                                                                            Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

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                                                                                            Picard

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                                                                                            Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

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                                                                                            Mark Duplicates

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                                                                                            Insert Size

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                                                                                            Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

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                                                                                            GC Coverage Bias

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                                                                                            This plot shows bias in coverage across regions of the genome with varying GC content. A perfect library would be a flat line at y = 1.

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                                                                                            Samtools

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                                                                                            Samtools is a suite of programs for interacting with high-throughput sequencing data. This module parses the output from samtools stats.

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                                                                                            Reads Mapping

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                                                                                            Bases Mapping

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                                                                                            Read Pairs

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                                                                                            Bismark

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                                                                                            Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

                                                                                            - -
                                                                                            -

                                                                                            Alignment Rates

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                                                                                            Tophat

                                                                                            -

                                                                                            Tophat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes.

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                                                                                            Cutadapt

                                                                                            -

                                                                                            Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

                                                                                            This plot shows the number of reads with certain lengths of adapter trimmed. - Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak - may be related to adapter length. See the - cutadapt documentation - for more information on how these numbers are generated.

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                                                                                            FastQC

                                                                                            -

                                                                                            FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

                                                                                            - -
                                                                                            -

                                                                                            Sequence Quality Histograms

                                                                                            -

                                                                                            The mean quality value across each base position in the read. See the FastQC help.

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                                                                                            - -
                                                                                            -
                                                                                            - -
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                                                                                            Per Sequence Quality Scores

                                                                                            -

                                                                                            The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

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                                                                                            - -
                                                                                            -
                                                                                            - -
                                                                                            -

                                                                                            Per Base Sequence Content

                                                                                            -

                                                                                            The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

                                                                                            Click a heatmap row to see a line plot for that dataset.

                                                                                            -
                                                                                            rollover for sample name
                                                                                            -
                                                                                            - Position: - -
                                                                                            %T: -
                                                                                            -
                                                                                            %C: -
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                                                                                            Per Sequence GC Content

                                                                                            -

                                                                                            The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. See the FastQC help.

                                                                                            - - -
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                                                                                            Per Base N Content

                                                                                            -

                                                                                            The percentage of base calls at each position for which an N was called. See the FastQC help.

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                                                                                            Sequence Length Distribution

                                                                                            -

                                                                                            All samples have sequences of exactly 101 bp in length.

                                                                                            -
                                                                                            -
                                                                                            - -
                                                                                            -

                                                                                            Sequence Duplication Levels

                                                                                            -

                                                                                            The relative level of duplication found for every sequence. See the FastQC help.

                                                                                            loading..
                                                                                            - -
                                                                                            -
                                                                                            - -
                                                                                            -

                                                                                            Adapter Content

                                                                                            -

                                                                                            The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

                                                                                            No samples found with any adapter contamination > 0.1%
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                                                                                                  A modular tool to aggregate results from bioinformatics - analyses across many samples into a single report.

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                                                                                                  Report generated on 2016-05-23, 09:05 based on data in: - /root/galaxy/database/jobs_directory/000/104/working/multiqc_WDir - -

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                                                                                                  General Statistics

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                                                                                                  Sample NameM Aligned% Aligned
                                                                                                  Bismark Report_SE_report
                                                                                                  0.2
                                                                                                  69.7%
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                                                                                                  -

                                                                                                  Bismark

                                                                                                  -

                                                                                                  Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.

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                                                                                                  Alignment Rates

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                                                                                                        Report generated on 2016-05-23, 10:05 based on data in: - /root/galaxy/database/jobs_directory/000/106/working/multiqc_WDir - -

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                                                                                                        Cutadapt

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                                                                                                        Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.

                                                                                                        This plot shows the number of reads with certain lengths of adapter trimmed. - Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak - may be related to adapter length. See the - cutadapt documentation - for more information on how these numbers are generated.

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                                                                                                              General Statistics

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                                                                                                              Sample Name% Dups% GCLengthM Seqs
                                                                                                              poulet5_1
                                                                                                              36.3%
                                                                                                              48%
                                                                                                              101
                                                                                                              0.3
                                                                                                              - - -
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                                                                                                              FastQC

                                                                                                              -

                                                                                                              FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

                                                                                                              - -
                                                                                                              -

                                                                                                              Sequence Quality Histograms

                                                                                                              -

                                                                                                              The mean quality value across each base position in the read. See the FastQC help.

                                                                                                              loading..
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                                                                                                              -

                                                                                                              The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

                                                                                                              loading..
                                                                                                              - -
                                                                                                              -
                                                                                                              - -
                                                                                                              -

                                                                                                              Per Base Sequence Content

                                                                                                              -

                                                                                                              The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

                                                                                                              Click a heatmap row to see a line plot for that dataset.

                                                                                                              -
                                                                                                              rollover for sample name
                                                                                                              -
                                                                                                              - Position: - -
                                                                                                              %T: -
                                                                                                              -
                                                                                                              %C: -
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                                                                                                              Per Sequence GC Content

                                                                                                              -

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                                                                                                              - - -
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                                                                                                              loading..
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                                                                                                              -
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                                                                                                              Per Base N Content

                                                                                                              -

                                                                                                              The percentage of base calls at each position for which an N was called. See the FastQC help.

                                                                                                              loading..
                                                                                                              - -
                                                                                                              -
                                                                                                              - -
                                                                                                              -

                                                                                                              Sequence Length Distribution

                                                                                                              -

                                                                                                              All samples have sequences of exactly 101 bp in length.

                                                                                                              -
                                                                                                              -
                                                                                                              - -
                                                                                                              -

                                                                                                              Sequence Duplication Levels

                                                                                                              -

                                                                                                              The relative level of duplication found for every sequence. See the FastQC help.

                                                                                                              loading..
                                                                                                              - -
                                                                                                              -
                                                                                                              - -
                                                                                                              -

                                                                                                              Adapter Content

                                                                                                              -

                                                                                                              The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

                                                                                                              No samples found with any adapter contamination > 0.1%
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                                                                                                                    General Statistics

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                                                                                                                    Sample Name% Dups% GCLengthM Seqs
                                                                                                                    poulet5_1
                                                                                                                    36.3%
                                                                                                                    48%
                                                                                                                    101
                                                                                                                    0.3
                                                                                                                    poulet5_2
                                                                                                                    36.2%
                                                                                                                    48%
                                                                                                                    101
                                                                                                                    0.3
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                                                                                                                    FastQC

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                                                                                                                    FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

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                                                                                                                    Sequence Quality Histograms

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                                                                                                                    The mean quality value across each base position in the read. See the FastQC help.

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                                                                                                                    The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

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                                                                                                                    The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

                                                                                                                    Click a heatmap row to see a line plot for that dataset.

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                                                                                                                    The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. See the FastQC help.

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                                                                                                                    The percentage of base calls at each position for which an N was called. See the FastQC help.

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                                                                                                                    Sequence Length Distribution

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                                                                                                                    All samples have sequences of exactly 101 bp in length.

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                                                                                                                    The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

                                                                                                                    No samples found with any adapter contamination > 0.1%
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                                                                                                                          General Statistics

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                                                                                                                          Sample Name% AssignedM Assigned
                                                                                                                          70__TopHat_on_data_1,_data_4,_and_data_3__accepted_hits
                                                                                                                          70.8%
                                                                                                                          0.3
                                                                                                                          75__TopHat_on_data_1,_data_6,_and_data_5__accepted_hits
                                                                                                                          69.6%
                                                                                                                          0.4
                                                                                                                          80__TopHat_on_data_1,_data_8,_and_data_7__accepted_hits
                                                                                                                          71.8%
                                                                                                                          0.4
                                                                                                                          85__TopHat_on_data_1,_data_10,_and_data_9__accepted_hits
                                                                                                                          72.0%
                                                                                                                          0.4
                                                                                                                          90__TopHat_on_data_1,_data_12,_and_data_11__accepted_hits
                                                                                                                          71.3%
                                                                                                                          0.4
                                                                                                                          95__TopHat_on_data_1,_data_14,_and_data_13__accepted_hits
                                                                                                                          70.7%
                                                                                                                          0.5
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                                                                                                                          featureCounts

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                                                                                                                          Subread featureCounts is a highly efficient general-purpose read summarization program that counts mapped reads for genomic features such as genes, exons, promoter, gene bodies, genomic bins and chromosomal locations.

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                                                                                                                                General Statistics

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                                                                                                                                Sample Name% DupsInsert SizeFold EnrichmentTarget Bases 30XCCG Oxidation
                                                                                                                                dataset_114.dat]
                                                                                                                                0.6%
                                                                                                                                dataset_197.dat
                                                                                                                                176
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                                                                                                                                Picard

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                                                                                                                                Picard is a set of Java command line tools for manipulating high-throughput sequencing data.

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                                                                                                                                Plot shows the number of reads at a given insert size. Reads with different orientations are summed.

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                                                                                                                                GC Coverage Bias

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                                                                                                                                This plot shows bias in coverage across regions of the genome with varying GC content. A perfect library would be a flat line at y = 1.

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                                                                                                                                      General Statistics

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                                                                                                                                      Sample NameM Total seqsM Reads MappedM Non-Primary AlignmentsError rate
                                                                                                                                      Stats on data 1 and data 95
                                                                                                                                      0.6
                                                                                                                                      0.6
                                                                                                                                      0.0
                                                                                                                                      0.42%
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                                                                                                                                      Samtools

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                                                                                                                                      Samtools is a suite of programs for interacting with high-throughput sequencing data. This module parses the output from samtools stats.

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                                                                                                                                      Reads Mapping

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                                                                                                                                            Report generated on 2016-05-23, 08:05 based on data in: - /root/galaxy/database/jobs_directory/000/85/working/multiqc_WDir - -

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                                                                                                                                            General Statistics

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                                                                                                                                            Sample Name% AlignedM Aligned
                                                                                                                                            TopHat on data 1, data 14, and data 13: align_summary
                                                                                                                                            99.5%
                                                                                                                                            0.3
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                                                                                                                                            Tophat

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                                                                                                                                            Tophat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes.

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                                                                                                                                            - - - - - - - - - - - diff -r 66f1187ed363 -r 4612d775965f test-data/samtools_data.txt --- a/test-data/samtools_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,9736 +0,0 @@ -# This file was produced by samtools stats (1.2+htslib-1.2.1) and can be plotted using plot-bamstats -# The command line was: stats --coverage 1,1000,1 --GC-depth 20000.0 --insert-size 8000 --most-inserts 0.99 --trim-quality 0 --ref-seq /omaha-beach/cloud_26/files/000/dataset_20.dat /omaha-beach/cloud_26/files/000/dataset_114.dat -# CHK, Checksum [2]Read Names [3]Sequences [4]Qualities -# CHK, CRC32 of reads which passed filtering followed by addition (32bit overflow) -CHK 7742088d 2cf80e59 99341a6a -# Summary Numbers. Use `grep ^SN | cut -f 2-` to extract this part. -SN raw total sequences: 641821 -SN filtered sequences: 0 -SN sequences: 641821 -SN is sorted: 1 -SN 1st fragments: 320981 -SN last fragments: 320840 -SN reads mapped: 641821 -SN reads mapped and paired: 638746 # paired-end technology bit set + both mates mapped -SN reads unmapped: 0 -SN reads properly paired: 635626 # proper-pair bit set -SN reads paired: 641821 # paired-end technology bit set -SN reads duplicated: 0 # PCR or optical duplicate bit set -SN reads MQ0: 70 # mapped and MQ=0 -SN reads QC failed: 0 -SN non-primary alignments: 12111 -SN total length: 64823921 # ignores clipping -SN bases mapped: 64823921 # ignores clipping -SN bases mapped (cigar): 64823921 # more accurate -SN bases trimmed: 0 -SN bases duplicated: 0 -SN mismatches: 275405 # from NM fields -SN error rate: 4.248509e-03 # mismatches / bases mapped (cigar) -SN average length: 101 -SN maximum length: 101 -SN average quality: 26.0 -SN insert size average: 719.7 -SN insert size standard deviation: 1223.0 -SN inward oriented pairs: 317512 -SN outward oriented pairs: 1294 -SN pairs with other orientation: 30 -SN pairs on different chromosomes: 0 -# First Fragment Qualitites. Use `grep ^FFQ | cut -f 2-` to extract this part. -# Columns correspond to qualities and rows to cycles. First column is the cycle number. -FFQ 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 113 0 0 0 0 320725 143 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 4 320810 71 91 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 3 320877 25 75 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 5 320905 26 44 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 8 320816 67 86 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 8 320839 42 84 5 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 6 320867 57 47 1 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 8 320845 59 64 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 2 320851 46 78 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 320836 57 77 3 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 7 320849 46 67 5 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 8 320812 80 78 2 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 9 320826 56 82 4 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 10 320774 77 107 7 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 7 320808 60 95 3 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 12 320786 68 101 6 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 8 320758 89 116 6 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 9 320768 86 106 6 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 12 320795 77 91 4 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 11 320739 99 110 14 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 16 320681 115 143 21 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 11 320699 111 144 11 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 0 0 0 14 320659 111 171 15 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 11 1 0 0 0 18 320626 139 165 20 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 13 320630 125 180 23 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 1 32 320502 176 228 32 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 0 0 0 25 320413 219 270 43 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 40 320323 222 317 74 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 14 0 0 0 0 33 320324 240 300 68 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 32 320438 208 249 47 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 2 0 0 0 30 320518 136 220 63 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 7 2 0 0 0 22 320539 158 199 52 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 10 3 0 0 0 31 320501 143 234 58 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 14 5 0 0 0 28 320475 168 216 73 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 14 2 0 0 2 14 320498 164 217 65 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 6 7 0 0 0 25 320419 210 229 82 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10 2 0 0 0 27 320497 146 216 79 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 15 2 0 0 0 35 320379 186 277 85 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 4 0 0 2 36 320412 186 271 58 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 8 4 0 0 0 31 320420 187 261 67 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 4 6 0 0 0 19 320375 205 268 92 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 9 2 0 0 0 34 320376 202 287 65 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 2 8 0 0 0 33 320367 206 289 68 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 4 13 0 0 2 41 320230 279 330 78 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 15 8 0 0 0 58 320276 209 341 68 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 13 8 0 0 0 53 320197 275 342 87 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 14 6 0 0 1 55 320225 219 388 67 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 11 9 0 0 0 53 320120 302 394 80 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 10 18 0 0 2 84 320118 260 419 63 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 10 12 0 0 0 60 319973 337 492 84 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 10 15 0 0 0 52 319932 333 537 90 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 5 18 0 0 0 61 319903 320 573 94 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 8 22 0 0 0 62 319897 359 544 78 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 14 25 0 0 0 89 319808 371 575 91 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 7 24 0 0 3 121 319810 320 633 57 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 4 42 0 0 0 66 319481 518 657 199 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 5 36 0 0 0 80 319309 575 777 183 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 7 40 0 0 0 79 319345 609 700 191 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 19 35 0 0 0 112 319419 487 785 110 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 9 54 0 0 0 88 319097 574 901 246 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 10 55 0 0 10 169 319174 475 997 74 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 7 75 0 0 0 111 318749 787 986 248 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 22 56 0 0 10 188 318870 589 1150 76 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 19 76 0 0 11 189 318737 648 1195 91 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 21 79 0 0 0 197 318550 705 1284 121 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 25 79 0 0 0 195 318333 783 1439 107 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 18 85 0 0 0 208 318101 829 1584 130 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 19 96 0 0 0 231 317865 961 1679 116 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 36 133 0 0 0 238 317621 994 1809 132 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 29 123 0 0 0 258 317369 1087 1947 143 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 32 0 123 0 0 109 316709 1180 1344 1464 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 35 0 133 0 0 125 316372 1317 1408 1576 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 0 34 138 0 0 7 406 316605 1310 2392 65 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 31 181 0 0 0 342 316340 1442 2510 108 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 36 187 0 0 8 395 316006 1568 2662 95 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 54 179 0 0 0 386 315780 1618 2865 77 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 46 206 0 0 11 436 315719 1579 2889 72 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 38 0 236 0 11 125 314395 1803 1935 2415 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 33 249 0 0 0 490 315017 1824 3294 60 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 42 285 0 0 8 548 314760 1875 3393 51 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 47 289 0 0 9 585 314291 2036 3653 55 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 2 46 359 0 0 14 604 313542 2274 4102 24 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 17 42 363 0 0 28 773 312837 2442 4461 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 61 357 0 0 22 706 312428 2610 4730 50 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 16 45 386 0 0 21 839 311516 2872 5269 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 27 57 431 0 0 31 937 310762 3053 5665 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 19 50 507 0 0 16 1056 309721 3328 6266 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 26 56 554 0 0 12 1030 309021 3568 6694 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 35 604 0 0 36 1137 308241 3708 7186 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 12 41 672 0 0 10 1127 307003 4124 7976 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 20 56 744 0 0 15 1358 305669 4425 8679 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 16 71 854 0 0 10 1290 304360 4896 9472 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 52 22 943 0 0 13 1582 302737 5311 10315 1 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 38 13 1011 0 0 13 1659 301116 5731 11394 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 95 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 48 1119 0 0 2 1835 299128 6219 12604 20 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 21 1338 0 0 0 1858 6469 296623 13924 730 12 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 8 1383 0 0 0 1987 6972 294224 15758 636 11 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 3 0 1574 0 0 6 2448 8066 291197 17253 422 6 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1610 2 0 0 2835 8983 8498 298741 142 169 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1699 0 0 0 3197 10141 285195 20749 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1758 0 0 0 3382 281089 11576 23176 0 0 0 0 0 0 0 0 0 0 0 0 0 -FFQ 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -# Last Fragment Qualitites. Use `grep ^LFQ | cut -f 2-` to extract this part. -# Columns correspond to qualities and rows to cycles. First column is the cycle number. -LFQ 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 45 0 0 0 0 0 319823 972 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 34 15 0 0 0 5 320305 160 321 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 20 320305 132 370 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 6 0 0 17 320360 134 308 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 22 320335 165 301 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 20 320442 112 243 18 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 30 320503 109 179 9 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 7 320490 131 197 9 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 12 320539 123 159 2 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 11 320465 112 240 4 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 1 0 0 0 27 320344 160 278 10 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 0 0 0 0 25 320389 169 236 10 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 14 320331 166 308 8 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 3 0 0 0 24 320389 142 250 22 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 1 0 0 0 23 320394 156 236 15 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 30 320296 190 295 16 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 16 1 0 0 0 36 320300 198 269 19 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 32 320348 176 253 21 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 25 320363 163 250 26 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 8 1 0 0 0 39 320215 196 348 32 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 25 320265 187 327 23 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 36 320227 192 334 33 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 13 0 0 0 0 38 320161 240 349 38 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 2 0 0 0 41 320111 237 400 34 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 4 0 0 0 39 320085 261 392 48 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 34 320076 240 426 54 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 16 0 0 0 0 35 319993 298 427 68 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 14 1 0 0 0 42 319952 300 452 75 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 18 2 0 0 0 58 320012 286 377 83 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 5 0 0 0 52 319979 266 407 105 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 1 0 0 0 54 319959 299 411 96 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 5 0 0 1 51 319853 293 495 120 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 18 2 0 0 0 50 319892 295 436 143 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 14 5 0 0 0 47 320114 237 316 105 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 16 6 0 0 0 43 320038 226 401 109 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 25 3 0 0 0 37 320030 269 375 98 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 17 6 0 0 0 46 320071 254 344 98 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 10 5 0 0 0 30 320128 221 342 101 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 14 5 0 0 0 46 320016 258 387 108 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 19 14 0 0 4 68 319787 318 497 130 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 7 8 0 0 0 46 319976 278 397 123 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 15 7 0 0 1 51 319947 287 430 93 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 12 8 0 0 2 68 319889 291 486 76 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 1 8 13 0 0 3 72 319747 351 503 131 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 11 16 0 0 3 91 319807 302 533 74 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 14 12 0 0 4 101 319743 327 538 97 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 1 13 14 0 0 1 78 319747 337 546 90 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 7 12 0 0 0 75 319710 365 550 113 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 18 15 0 0 0 86 319656 366 578 109 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 2 22 0 0 1 77 319439 451 638 198 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 1 13 0 22 0 3 87 319532 327 590 253 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 14 28 0 0 0 114 319528 327 709 105 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 16 28 0 0 2 118 319515 341 724 82 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 15 31 0 0 0 76 319533 411 686 73 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 3 12 32 0 0 7 131 319452 389 735 69 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 12 32 0 0 0 103 319491 396 716 82 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 18 31 0 0 0 111 319284 502 801 81 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 9 61 0 0 0 70 318992 590 866 234 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 15 51 0 0 0 123 319167 473 919 79 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 14 42 0 0 0 147 318983 560 989 90 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 15 48 0 0 7 186 318820 580 1099 69 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 20 56 0 0 0 143 318718 602 1177 110 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 2 3 79 0 0 4 185 318381 755 1179 230 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 30 0 24 74 0 0 5 224 318275 723 1381 104 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 25 77 0 0 0 171 318184 802 1452 112 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 32 23 102 0 0 0 215 317842 881 1622 123 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 31 91 0 0 0 209 317749 900 1742 106 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 23 35 111 0 0 0 237 317543 965 1818 108 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 9 142 0 0 0 217 316914 1239 1936 363 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 24 130 0 0 0 321 317017 1154 2057 113 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 34 126 0 0 0 306 316905 1223 2124 96 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 31 154 0 0 0 318 316601 1277 2345 90 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 34 170 0 0 0 374 316178 1406 2546 114 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 33 157 0 0 0 399 315995 1484 2677 77 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 40 0 203 0 0 122 314680 1678 1928 2164 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26 37 220 0 0 0 421 315186 1691 3158 101 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 44 232 0 0 0 500 314756 1810 3390 83 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 25 38 268 0 0 12 485 314348 2042 3541 81 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 22 40 323 0 0 12 582 313860 2068 3849 84 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 28 49 333 0 0 8 685 313142 2394 4103 98 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 3 54 371 0 0 23 729 312644 2505 4455 36 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 2 55 390 0 0 20 776 311868 2687 4972 49 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 53 64 441 0 0 21 837 311048 3011 5347 18 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 31 47 435 0 0 14 1018 310127 3319 5825 24 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 13 52 519 0 0 23 1054 309351 3540 6271 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 24 16 59 624 0 0 17 1089 308409 3668 6934 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 9 56 606 0 0 13 1206 307277 4043 7612 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 16 58 687 0 0 21 1265 306234 4400 8140 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 0 70 775 0 0 4 1284 305283 4424 8967 19 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 13 53 783 0 0 19 1478 303756 5133 9591 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 52 24 932 0 0 27 1532 302457 5466 10336 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 18 55 975 0 0 5 1597 300687 6045 11442 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 44 41 1139 0 0 16 1871 299027 6326 12349 20 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 30 45 1208 0 0 10 2042 297077 6923 13475 19 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 95 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 33 31 1338 0 0 13 2162 294534 7554 15153 16 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 27 1558 0 0 0 2210 7901 291792 16495 836 18 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 15 1627 0 0 0 2458 8586 288861 18599 681 10 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 1851 9 0 0 2912 9641 9013 296492 435 468 7 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 1919 1 0 0 3335 11040 10164 294027 177 171 2 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2077 0 0 0 3829 12449 278167 24318 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2027 0 0 0 3852 274224 14024 26713 0 0 0 0 0 0 0 0 0 0 0 0 0 -LFQ 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -# Mismatches per cycle and quality. Use `grep ^MPC | cut -f 2-` to extract this part. -# Columns correspond to qualities, rows to cycles. First column is the cycle number, second -# is the number of N's and the rest is the number of mismatches -MPC 1 157 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98405 282 0 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 2 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 2 83677 42 82 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 6 82286 28 70 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 4 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 82418 21 68 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 7 81217 31 82 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 6 81340 32 62 5 0 0 0 0 0 0 0 0 0 0 0 -MPC 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 6 81247 27 39 2 0 0 0 0 0 0 0 0 0 0 0 -MPC 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 4 81087 40 50 3 0 0 0 0 0 0 0 0 0 0 0 -MPC 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 79830 37 46 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 6 81033 36 63 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 9 80885 35 70 8 0 0 0 0 0 0 0 0 0 0 0 -MPC 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 2 82102 55 54 2 0 0 0 0 0 0 0 0 0 0 0 -MPC 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 5 81994 46 69 2 0 0 0 0 0 0 0 0 0 0 0 -MPC 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 0 0 0 7 82435 51 74 7 0 0 0 0 0 0 0 0 0 0 0 -MPC 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 5 82095 38 96 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 11 82142 44 85 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 7 82554 45 91 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 8 82379 41 88 3 0 0 0 0 0 0 0 0 0 0 0 -MPC 19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 8 81995 38 84 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 6 0 0 0 0 8 82708 44 126 11 0 0 0 0 0 0 0 0 0 0 0 -MPC 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 9 82903 57 103 6 0 0 0 0 0 0 0 0 0 0 0 -MPC 22 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 0 0 0 0 11 83189 44 109 5 0 0 0 0 0 0 0 0 0 0 0 -MPC 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 8 82967 56 110 16 0 0 0 0 0 0 0 0 0 0 0 -MPC 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 9 82668 59 137 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 25 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 0 6 83255 58 136 20 0 0 0 0 0 0 0 0 0 0 0 -MPC 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 10 83007 71 163 22 0 0 0 0 0 0 0 0 0 0 0 -MPC 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 0 11 82689 97 145 22 0 0 0 0 0 0 0 0 0 0 0 -MPC 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 5 0 0 0 0 13 83144 101 185 33 0 0 0 0 0 0 0 0 0 0 0 -MPC 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 28 84129 97 178 29 0 0 0 0 0 0 0 0 0 0 0 -MPC 30 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 1 0 0 0 10 83162 82 159 28 0 0 0 0 0 0 0 0 0 0 0 -MPC 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 0 0 0 20 83511 87 146 33 0 0 0 0 0 0 0 0 0 0 0 -MPC 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 1 0 0 1 13 83904 73 143 36 0 0 0 0 0 0 0 0 0 0 0 -MPC 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 0 0 0 12 83287 83 141 38 0 0 0 0 0 0 0 0 0 0 0 -MPC 34 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 2 0 0 0 6 84022 71 94 36 0 0 0 0 0 0 0 0 0 0 0 -MPC 35 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 11 3 0 0 1 9 83453 89 128 26 0 0 0 0 0 0 0 0 0 0 0 -MPC 36 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 2 0 0 0 13 83649 81 103 36 0 0 0 0 0 0 0 0 0 0 0 -MPC 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 1 0 0 0 10 83548 73 88 35 0 0 0 0 0 0 0 0 0 0 0 -MPC 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 1 0 0 0 12 84925 76 109 33 0 0 0 0 0 0 0 0 0 0 0 -MPC 39 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 9 0 0 0 1 12 83561 96 122 45 0 0 0 0 0 0 0 0 0 0 0 -MPC 40 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 7 4 0 0 1 20 84791 88 168 42 0 0 0 0 0 0 0 0 0 0 0 -MPC 41 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 2 0 0 0 14 84150 74 124 45 0 0 0 0 0 0 0 0 0 0 0 -MPC 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 3 2 0 0 0 13 83774 98 123 28 0 0 0 0 0 0 0 0 0 0 0 -MPC 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 4 2 0 0 2 28 83771 94 159 32 0 0 0 0 0 0 0 0 0 0 0 -MPC 44 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6 5 0 0 1 23 83722 104 175 39 0 0 0 0 0 0 0 0 0 0 0 -MPC 45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 10 6 0 0 1 41 84261 93 160 25 0 0 0 0 0 0 0 0 0 0 0 -MPC 46 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 7 1 0 0 0 39 84627 104 160 42 0 0 0 0 0 0 0 0 0 0 0 -MPC 47 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 7 3 0 0 0 34 84297 101 169 36 0 0 0 0 0 0 0 0 0 0 0 -MPC 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 3 5 0 0 0 15 84963 121 171 48 0 0 0 0 0 0 0 0 0 0 0 -MPC 49 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 6 3 0 0 1 39 83942 137 169 32 0 0 0 0 0 0 0 0 0 0 0 -MPC 50 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 4 9 0 0 0 28 84075 143 194 66 0 0 0 0 0 0 0 0 0 0 0 -MPC 51 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 4 0 2 0 1 34 83331 123 177 64 0 0 0 0 0 0 0 0 0 0 0 -MPC 52 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 5 8 0 0 0 33 84009 111 218 49 0 0 0 0 0 0 0 0 0 0 0 -MPC 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 5 6 7 0 0 1 43 84258 125 209 35 0 0 0 0 0 0 0 0 0 0 0 -MPC 54 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 6 9 0 0 0 25 84920 133 194 29 0 0 0 0 0 0 0 0 0 0 0 -MPC 55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 4 7 0 0 7 62 84793 109 211 26 0 0 0 0 0 0 0 0 0 0 0 -MPC 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 1 12 0 0 0 25 84246 173 244 47 0 0 0 0 0 0 0 0 0 0 0 -MPC 57 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 6 0 0 0 44 84546 193 256 53 0 0 0 0 0 0 0 0 0 0 0 -MPC 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 1 16 0 0 0 23 84043 200 294 57 0 0 0 0 0 0 0 0 0 0 0 -MPC 59 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10 7 0 0 0 46 85272 172 310 30 0 0 0 0 0 0 0 0 0 0 0 -MPC 60 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 12 0 0 0 45 84534 200 308 64 0 0 0 0 0 0 0 0 0 0 0 -MPC 61 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 7 6 0 0 5 90 84509 185 343 32 0 0 0 0 0 0 0 0 0 0 0 -MPC 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 15 0 0 0 37 84802 260 354 65 0 0 0 0 0 0 0 0 0 0 0 -MPC 63 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 1 5 11 0 0 3 86 84937 241 420 51 0 0 0 0 0 0 0 0 0 0 0 -MPC 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 9 9 0 0 7 84 84776 280 455 38 0 0 0 0 0 0 0 0 0 0 0 -MPC 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 6 14 0 0 0 65 83919 322 428 61 0 0 0 0 0 0 0 0 0 0 0 -MPC 66 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 12 19 0 0 0 58 84493 325 511 47 0 0 0 0 0 0 0 0 0 0 0 -MPC 67 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 7 23 0 0 0 58 84399 362 558 45 0 0 0 0 0 0 0 0 0 0 0 -MPC 68 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 10 16 0 0 0 68 83573 371 585 57 0 0 0 0 0 0 0 0 0 0 0 -MPC 69 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 7 43 0 0 0 85 84135 412 599 101 0 0 0 0 0 0 0 0 0 0 0 -MPC 70 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 6 36 0 0 0 89 84584 409 665 43 0 0 0 0 0 0 0 0 0 0 0 -MPC 71 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 15 15 10 0 0 60 84237 450 528 301 0 0 0 0 0 0 0 0 0 0 0 -MPC 72 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 8 17 16 0 0 75 82936 493 605 299 0 0 0 0 0 0 0 0 0 0 0 -MPC 73 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 4 17 44 0 0 2 157 84054 528 844 22 0 0 0 0 0 0 0 0 0 0 0 -MPC 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 12 54 0 0 0 96 83448 556 848 43 0 0 0 0 0 0 0 0 0 0 0 -MPC 75 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 8 31 33 0 1 97 83325 652 739 350 0 0 0 0 0 0 0 0 0 0 0 -MPC 76 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 19 34 0 0 0 130 82830 678 946 40 0 0 0 0 0 0 0 0 0 0 0 -MPC 77 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 13 41 0 0 0 143 82891 633 981 19 0 0 0 0 0 0 0 0 0 0 0 -MPC 78 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 13 43 27 0 2 100 82562 693 858 401 0 0 0 0 0 0 0 0 0 0 0 -MPC 79 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 14 16 82 0 0 3 163 82688 729 1061 25 0 0 0 0 0 0 0 0 0 0 0 -MPC 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 16 71 0 0 2 175 82962 828 1165 25 0 0 0 0 0 0 0 0 0 0 0 -MPC 81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 3 17 74 0 0 8 231 82689 870 1289 15 0 0 0 0 0 0 0 0 0 0 0 -MPC 82 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 17 111 0 0 13 216 82308 966 1392 13 0 0 0 0 0 0 0 0 0 0 0 -MPC 83 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 4 25 99 0 0 9 267 81839 1044 1442 5 0 0 0 0 0 0 0 0 0 0 0 -MPC 84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 20 85 0 0 1 232 81465 1231 1663 7 0 0 0 0 0 0 0 0 0 0 0 -MPC 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 4 17 99 0 0 10 268 81759 1291 1819 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 86 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 6 19 117 0 0 10 316 81327 1341 1988 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 87 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 3 19 117 0 0 4 349 81046 1483 2232 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 88 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 2 25 159 0 0 7 363 80978 1554 2285 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 89 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 4 25 182 0 0 9 338 80443 1644 2682 2 0 0 0 0 0 0 0 0 0 0 0 -MPC 90 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 2 17 214 0 0 4 430 79591 1772 2930 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 91 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 7 17 208 0 0 11 441 80129 1730 3233 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 5 17 211 0 0 3 446 78437 2002 3480 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 93 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 14 8 254 0 0 7 572 78615 1997 3749 3 0 0 0 0 0 0 0 0 0 0 0 -MPC 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 5 8 251 0 0 1 462 77866 2241 4048 6 0 0 0 0 0 0 0 0 0 0 0 -MPC 95 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 9 314 0 0 6 655 76430 2514 4695 7 0 0 0 0 0 0 0 0 0 0 0 -MPC 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 12 391 0 0 0 566 2098 76969 5222 211 4 0 0 0 0 0 0 0 0 0 0 0 -MPC 97 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 401 0 0 0 614 2396 75564 5776 229 6 0 0 0 0 0 0 0 0 0 0 0 -MPC 98 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 271 219 0 0 406 1727 2800 77304 3035 141 1 0 0 0 0 0 0 0 0 0 0 0 -MPC 99 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 504 0 0 0 928 2885 3413 78669 64 44 1 0 0 0 0 0 0 0 0 0 0 0 -MPC 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 536 0 0 0 979 3339 73408 7776 0 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 101 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 728 0 0 0 1072 73777 4856 10378 0 0 0 0 0 0 0 0 0 0 0 0 -MPC 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -# GC Content of first fragments. Use `grep ^GCF | cut -f 2-` to extract this part. -GCF 7.29 0 -GCF 15.08 2 -GCF 16.08 3 -GCF 17.09 7 -GCF 18.59 17 -GCF 20.10 33 -GCF 21.11 42 -GCF 22.11 52 -GCF 23.12 114 -GCF 24.12 164 -GCF 25.13 326 -GCF 26.13 507 -GCF 27.14 691 -GCF 28.14 899 -GCF 29.15 1591 -GCF 30.15 1949 -GCF 31.16 2308 -GCF 32.16 2736 -GCF 32.91 3088 -GCF 33.67 3685 -GCF 34.67 4605 -GCF 35.68 5091 -GCF 36.68 6131 -GCF 37.69 6883 -GCF 38.69 7964 -GCF 39.70 8636 -GCF 40.70 10761 -GCF 41.71 12194 -GCF 42.71 12911 -GCF 43.72 13386 -GCF 44.72 13260 -GCF 45.73 13698 -GCF 46.73 13439 -GCF 47.74 15308 -GCF 48.74 14928 -GCF 49.75 14412 -GCF 50.75 13332 -GCF 51.76 12903 -GCF 52.76 11945 -GCF 53.77 12084 -GCF 54.77 11708 -GCF 55.78 9649 -GCF 56.78 9361 -GCF 57.79 8367 -GCF 58.79 6859 -GCF 59.80 5753 -GCF 60.80 4662 -GCF 61.81 4213 -GCF 62.81 3894 -GCF 63.82 3063 -GCF 64.82 2456 -GCF 65.83 1920 -GCF 66.58 1398 -GCF 67.34 1419 -GCF 68.34 1253 -GCF 69.35 963 -GCF 70.35 713 -GCF 71.36 414 -GCF 72.36 265 -GCF 73.37 187 -GCF 74.37 115 -GCF 75.38 74 -GCF 76.38 50 -GCF 77.39 32 -GCF 78.39 23 -GCF 79.90 14 -GCF 81.41 19 -GCF 82.41 13 -GCF 83.42 5 -GCF 84.42 2 -GCF 85.43 1 -# GC Content of last fragments. Use `grep ^GCL | cut -f 2-` to extract this part. -GCL 6.78 0 -GCL 14.57 1 -GCL 16.08 3 -GCL 17.09 4 -GCL 18.09 7 -GCL 19.10 14 -GCL 20.10 31 -GCL 21.11 43 -GCL 22.11 65 -GCL 23.12 110 -GCL 24.12 186 -GCL 25.13 318 -GCL 26.13 565 -GCL 27.14 698 -GCL 28.14 919 -GCL 29.15 1512 -GCL 30.15 1962 -GCL 31.16 2348 -GCL 32.16 2693 -GCL 32.91 3148 -GCL 33.67 3657 -GCL 34.67 4472 -GCL 35.68 5072 -GCL 36.68 5943 -GCL 37.69 6932 -GCL 38.69 7875 -GCL 39.70 8778 -GCL 40.70 10644 -GCL 41.71 11773 -GCL 42.71 12979 -GCL 43.72 13566 -GCL 44.72 13217 -GCL 45.73 13362 -GCL 46.73 13338 -GCL 47.74 15116 -GCL 48.74 14791 -GCL 49.75 14361 -GCL 50.75 13389 -GCL 51.76 12939 -GCL 52.76 12428 -GCL 53.77 12023 -GCL 54.77 11736 -GCL 55.78 9713 -GCL 56.78 9335 -GCL 57.79 8514 -GCL 58.79 6846 -GCL 59.80 5874 -GCL 60.80 4865 -GCL 61.81 4274 -GCL 62.81 3973 -GCL 63.82 3008 -GCL 64.82 2400 -GCL 65.83 1929 -GCL 66.58 1438 -GCL 67.34 1428 -GCL 68.34 1299 -GCL 69.35 988 -GCL 70.35 739 -GCL 71.36 392 -GCL 72.36 258 -GCL 73.37 156 -GCL 74.37 118 -GCL 75.38 81 -GCL 76.38 51 -GCL 77.39 28 -GCL 78.39 32 -GCL 79.40 25 -GCL 80.40 21 -GCL 81.41 12 -GCL 82.41 14 -GCL 83.92 4 -GCL 85.43 2 -# ACGT content per cycle. Use `grep ^GCC | cut -f 2-` to extract this part. The columns are: cycle, and A,C,G,T counts [%] -GCC 1 12.32 37.19 37.45 13.05 -GCC 2 30.22 19.07 19.01 31.70 -GCC 3 23.59 25.79 25.71 24.90 -GCC 4 24.89 24.36 24.80 25.95 -GCC 5 26.37 23.14 23.40 27.09 -GCC 6 27.80 21.60 21.70 28.90 -GCC 7 27.71 21.52 21.77 29.00 -GCC 8 25.01 24.21 24.68 26.10 -GCC 9 25.54 23.74 23.93 26.79 -GCC 10 27.83 21.53 21.61 29.03 -GCC 11 22.59 26.73 26.96 23.72 -GCC 12 24.80 24.68 24.80 25.72 -GCC 13 26.25 23.19 22.90 27.66 -GCC 14 25.68 23.77 23.72 26.83 -GCC 15 25.57 23.95 23.87 26.61 -GCC 16 25.07 24.41 24.49 26.03 -GCC 17 25.26 24.27 24.24 26.23 -GCC 18 25.39 24.07 23.99 26.55 -GCC 19 25.14 24.57 24.36 25.93 -GCC 20 25.54 23.86 23.89 26.71 -GCC 21 25.45 23.91 24.04 26.60 -GCC 22 25.38 23.88 24.40 26.34 -GCC 23 25.68 23.61 24.05 26.65 -GCC 24 25.78 23.77 23.42 27.03 -GCC 25 25.33 24.02 24.16 26.49 -GCC 26 25.76 23.85 23.76 26.63 -GCC 27 25.79 23.86 23.85 26.50 -GCC 28 25.39 24.28 24.11 26.23 -GCC 29 25.76 24.03 23.60 26.62 -GCC 30 25.85 23.95 23.84 26.35 -GCC 31 25.55 24.04 24.10 26.31 -GCC 32 25.91 23.72 23.70 26.66 -GCC 33 25.71 23.88 23.80 26.62 -GCC 34 25.47 24.24 24.41 25.87 -GCC 35 25.73 23.66 23.83 26.78 -GCC 36 25.56 23.78 23.97 26.69 -GCC 37 25.71 24.17 23.94 26.18 -GCC 38 25.76 23.66 23.92 26.66 -GCC 39 25.66 23.95 23.94 26.45 -GCC 40 25.54 24.12 24.01 26.33 -GCC 41 25.47 23.92 23.71 26.90 -GCC 42 25.78 23.69 23.74 26.79 -GCC 43 25.41 24.09 24.14 26.36 -GCC 44 25.94 23.70 23.59 26.77 -GCC 45 25.84 23.84 23.78 26.54 -GCC 46 25.47 24.14 24.07 26.32 -GCC 47 25.69 23.93 23.94 26.44 -GCC 48 25.71 24.00 23.78 26.51 -GCC 49 25.25 23.94 24.25 26.57 -GCC 50 25.78 23.80 23.68 26.74 -GCC 51 25.46 23.99 23.90 26.66 -GCC 52 25.32 23.97 24.09 26.62 -GCC 53 25.76 23.74 23.72 26.79 -GCC 54 25.69 23.87 23.88 26.55 -GCC 55 25.34 24.00 24.22 26.44 -GCC 56 25.68 23.94 23.77 26.61 -GCC 57 25.68 23.82 23.92 26.57 -GCC 58 25.74 23.69 24.16 26.41 -GCC 59 25.69 23.87 23.83 26.61 -GCC 60 25.83 23.70 23.85 26.63 -GCC 61 25.57 23.87 24.19 26.37 -GCC 62 25.87 23.75 23.88 26.51 -GCC 63 26.09 23.89 23.56 26.46 -GCC 64 25.68 24.31 23.96 26.06 -GCC 65 25.74 24.02 23.86 26.38 -GCC 66 25.73 23.92 23.70 26.65 -GCC 67 25.44 24.05 24.26 26.26 -GCC 68 25.76 23.92 23.83 26.49 -GCC 69 25.58 23.96 23.74 26.72 -GCC 70 25.91 23.86 24.02 26.21 -GCC 71 25.93 23.70 23.76 26.61 -GCC 72 25.95 23.42 23.76 26.87 -GCC 73 25.36 24.10 24.11 26.42 -GCC 74 25.91 23.79 23.67 26.64 -GCC 75 25.67 23.81 23.92 26.59 -GCC 76 25.79 23.88 24.29 26.05 -GCC 77 25.80 23.81 23.66 26.74 -GCC 78 26.11 23.71 23.57 26.61 -GCC 79 25.69 24.25 23.89 26.17 -GCC 80 25.79 23.81 23.80 26.60 -GCC 81 25.91 23.89 23.56 26.64 -GCC 82 25.47 23.98 23.96 26.59 -GCC 83 25.76 23.85 23.90 26.49 -GCC 84 26.10 23.65 23.62 26.63 -GCC 85 25.35 24.06 24.19 26.39 -GCC 86 26.07 23.85 23.69 26.39 -GCC 87 26.02 23.96 23.45 26.57 -GCC 88 25.63 24.31 23.85 26.20 -GCC 89 25.89 23.88 23.55 26.69 -GCC 90 25.81 24.05 23.77 26.37 -GCC 91 25.36 24.23 24.29 26.12 -GCC 92 25.90 23.55 23.90 26.65 -GCC 93 25.85 23.76 23.75 26.65 -GCC 94 25.50 24.35 24.15 26.00 -GCC 95 25.77 23.83 23.88 26.52 -GCC 96 25.71 23.78 23.88 26.62 -GCC 97 25.67 24.09 24.05 26.19 -GCC 98 25.81 23.71 23.97 26.51 -GCC 99 25.43 23.88 24.11 26.58 -GCC 100 25.46 23.99 24.27 26.28 -GCC 101 25.52 24.12 24.24 26.11 -# Insert sizes. Use `grep ^IS | cut -f 2-` to extract this part. The columns are: insert size, pairs total, inward oriented pairs, outward oriented pairs, other pairs -IS 0 0 0 0 0 -IS 1 0 0 0 0 -IS 2 0 0 0 0 -IS 3 0 0 0 0 -IS 4 0 0 0 0 -IS 5 0 0 0 0 -IS 6 0 0 0 0 -IS 7 0 0 0 0 -IS 8 0 0 0 0 -IS 9 0 0 0 0 -IS 10 0 0 0 0 -IS 11 0 0 0 0 -IS 12 0 0 0 0 -IS 13 0 0 0 0 -IS 14 0 0 0 0 -IS 15 0 0 0 0 -IS 16 0 0 0 0 -IS 17 0 0 0 0 -IS 18 0 0 0 0 -IS 19 0 0 0 0 -IS 20 0 0 0 0 -IS 21 0 0 0 0 -IS 22 0 0 0 0 -IS 23 0 0 0 0 -IS 24 0 0 0 0 -IS 25 0 0 0 0 -IS 26 0 0 0 0 -IS 27 0 0 0 0 -IS 28 0 0 0 0 -IS 29 0 0 0 0 -IS 30 0 0 0 0 -IS 31 0 0 0 0 -IS 32 0 0 0 0 -IS 33 0 0 0 0 -IS 34 0 0 0 0 -IS 35 0 0 0 0 -IS 36 0 0 0 0 -IS 37 0 0 0 0 -IS 38 0 0 0 0 -IS 39 0 0 0 0 -IS 40 0 0 0 0 -IS 41 0 0 0 0 -IS 42 0 0 0 0 -IS 43 0 0 0 0 -IS 44 0 0 0 0 -IS 45 0 0 0 0 -IS 46 0 0 0 0 -IS 47 0 0 0 0 -IS 48 0 0 0 0 -IS 49 0 0 0 0 -IS 50 0 0 0 0 -IS 51 0 0 0 0 -IS 52 0 0 0 0 -IS 53 0 0 0 0 -IS 54 0 0 0 0 -IS 55 0 0 0 0 -IS 56 0 0 0 0 -IS 57 0 0 0 0 -IS 58 0 0 0 0 -IS 59 0 0 0 0 -IS 60 0 0 0 0 -IS 61 0 0 0 0 -IS 62 0 0 0 0 -IS 63 0 0 0 0 -IS 64 0 0 0 0 -IS 65 0 0 0 0 -IS 66 0 0 0 0 -IS 67 0 0 0 0 -IS 68 0 0 0 0 -IS 69 0 0 0 0 -IS 70 0 0 0 0 -IS 71 0 0 0 0 -IS 72 0 0 0 0 -IS 73 0 0 0 0 -IS 74 0 0 0 0 -IS 75 0 0 0 0 -IS 76 0 0 0 0 -IS 77 0 0 0 0 -IS 78 0 0 0 0 -IS 79 0 0 0 0 -IS 80 0 0 0 0 -IS 81 0 0 0 0 -IS 82 0 0 0 0 -IS 83 0 0 0 0 -IS 84 0 0 0 0 -IS 85 0 0 0 0 -IS 86 0 0 0 0 -IS 87 0 0 0 0 -IS 88 0 0 0 0 -IS 89 0 0 0 0 -IS 90 0 0 0 0 -IS 91 0 0 0 0 -IS 92 0 0 0 0 -IS 93 0 0 0 0 -IS 94 0 0 0 0 -IS 95 0 0 0 0 -IS 96 0 0 0 0 -IS 97 0 0 0 0 -IS 98 0 0 0 0 -IS 99 0 0 0 0 -IS 100 0 0 0 0 -IS 101 5 4 1 0 -IS 102 537 308 229 0 -IS 103 481 296 185 0 -IS 104 401 345 56 0 -IS 105 348 332 16 0 -IS 106 367 358 9 0 -IS 107 346 346 0 0 -IS 108 356 356 0 0 -IS 109 391 391 0 0 -IS 110 349 349 0 0 -IS 111 368 368 0 0 -IS 112 452 452 0 0 -IS 113 461 461 0 0 -IS 114 474 474 0 0 -IS 115 515 515 0 0 -IS 116 481 481 0 0 -IS 117 521 521 0 0 -IS 118 561 561 0 0 -IS 119 601 601 0 0 -IS 120 605 605 0 0 -IS 121 605 605 0 0 -IS 122 702 702 0 0 -IS 123 707 707 0 0 -IS 124 658 658 0 0 -IS 125 755 755 0 0 -IS 126 738 738 0 0 -IS 127 761 761 0 0 -IS 128 828 828 0 0 -IS 129 884 884 0 0 -IS 130 929 929 0 0 -IS 131 935 935 0 0 -IS 132 957 957 0 0 -IS 133 1008 1008 0 0 -IS 134 1091 1091 0 0 -IS 135 1138 1138 0 0 -IS 136 1183 1183 0 0 -IS 137 1285 1285 0 0 -IS 138 1387 1387 0 0 -IS 139 1430 1430 0 0 -IS 140 1500 1500 0 0 -IS 141 1630 1630 0 0 -IS 142 1701 1701 0 0 -IS 143 1848 1848 0 0 -IS 144 1908 1908 0 0 -IS 145 1969 1969 0 0 -IS 146 2217 2217 0 0 -IS 147 2223 2223 0 0 -IS 148 2284 2284 0 0 -IS 149 2464 2464 0 0 -IS 150 2580 2580 0 0 -IS 151 2545 2545 0 0 -IS 152 2644 2644 0 0 -IS 153 2605 2605 0 0 -IS 154 2592 2592 0 0 -IS 155 2759 2759 0 0 -IS 156 2770 2770 0 0 -IS 157 2732 2732 0 0 -IS 158 2781 2781 0 0 -IS 159 2796 2796 0 0 -IS 160 2897 2897 0 0 -IS 161 2839 2839 0 0 -IS 162 2795 2795 0 0 -IS 163 2726 2726 0 0 -IS 164 2790 2790 0 0 -IS 165 2868 2868 0 0 -IS 166 2815 2815 0 0 -IS 167 2874 2874 0 0 -IS 168 2908 2908 0 0 -IS 169 2826 2826 0 0 -IS 170 2856 2856 0 0 -IS 171 2827 2827 0 0 -IS 172 2857 2857 0 0 -IS 173 2864 2863 0 1 -IS 174 2785 2785 0 0 -IS 175 2695 2695 0 0 -IS 176 2713 2713 0 0 -IS 177 2594 2594 0 0 -IS 178 2525 2525 0 0 -IS 179 2584 2584 0 0 -IS 180 2505 2505 0 0 -IS 181 2379 2378 1 0 -IS 182 2330 2330 0 0 -IS 183 2195 2195 0 0 -IS 184 2121 2121 0 0 -IS 185 2002 2001 0 1 -IS 186 1921 1921 0 0 -IS 187 1839 1839 0 0 -IS 188 1891 1891 0 0 -IS 189 1711 1711 0 0 -IS 190 1618 1618 0 0 -IS 191 1489 1489 0 0 -IS 192 1489 1489 0 0 -IS 193 1363 1363 0 0 -IS 194 1295 1295 0 0 -IS 195 1181 1181 0 0 -IS 196 1156 1154 2 0 -IS 197 1020 1018 2 0 -IS 198 982 981 1 0 -IS 199 901 893 8 0 -IS 200 817 816 1 0 -IS 201 720 717 3 0 -IS 202 703 703 0 0 -IS 203 617 617 0 0 -IS 204 508 508 0 0 -IS 205 503 503 0 0 -IS 206 429 429 0 0 -IS 207 379 379 0 0 -IS 208 352 349 3 0 -IS 209 304 304 0 0 -IS 210 288 288 0 0 -IS 211 182 182 0 0 -IS 212 205 204 1 0 -IS 213 178 178 0 0 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196 6 0 -IS 266 222 218 4 0 -IS 267 227 222 5 0 -IS 268 216 212 4 0 -IS 269 199 196 3 0 -IS 270 193 191 2 0 -IS 271 196 192 4 0 -IS 272 204 200 4 0 -IS 273 196 192 4 0 -IS 274 224 221 3 0 -IS 275 213 210 3 0 -IS 276 187 184 3 0 -IS 277 215 215 0 0 -IS 278 198 198 0 0 -IS 279 209 207 2 0 -IS 280 187 184 3 0 -IS 281 184 182 2 0 -IS 282 183 180 3 0 -IS 283 175 175 0 0 -IS 284 182 181 1 0 -IS 285 175 171 4 0 -IS 286 178 175 3 0 -IS 287 190 186 4 0 -IS 288 195 188 7 0 -IS 289 200 198 2 0 -IS 290 150 146 4 0 -IS 291 169 166 3 0 -IS 292 186 183 3 0 -IS 293 182 178 4 0 -IS 294 142 138 4 0 -IS 295 160 155 5 0 -IS 296 143 141 2 0 -IS 297 152 148 4 0 -IS 298 146 145 1 0 -IS 299 149 147 2 0 -IS 300 125 125 0 0 -IS 301 130 128 2 0 -IS 302 120 117 3 0 -IS 303 110 106 4 0 -IS 304 121 119 2 0 -IS 305 117 117 0 0 -IS 306 124 123 1 0 -IS 307 131 131 0 0 -IS 308 115 114 1 0 -IS 309 100 99 1 0 -IS 310 99 99 0 0 -IS 311 109 109 0 0 -IS 312 98 98 0 0 -IS 313 104 101 3 0 -IS 314 110 109 1 0 -IS 315 84 83 1 0 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0 0 -IS 7412 0 0 0 0 -IS 7413 0 0 0 0 -IS 7414 2 2 0 0 -IS 7415 0 0 0 0 -IS 7416 1 1 0 0 -IS 7417 0 0 0 0 -IS 7418 0 0 0 0 -IS 7419 1 1 0 0 -IS 7420 0 0 0 0 -IS 7421 0 0 0 0 -IS 7422 0 0 0 0 -IS 7423 0 0 0 0 -IS 7424 1 1 0 0 -IS 7425 0 0 0 0 -IS 7426 1 1 0 0 -IS 7427 2 2 0 0 -IS 7428 0 0 0 0 -IS 7429 2 2 0 0 -IS 7430 1 1 0 0 -IS 7431 0 0 0 0 -IS 7432 0 0 0 0 -IS 7433 1 1 0 0 -IS 7434 0 0 0 0 -IS 7435 0 0 0 0 -IS 7436 0 0 0 0 -IS 7437 0 0 0 0 -IS 7438 0 0 0 0 -IS 7439 0 0 0 0 -IS 7440 0 0 0 0 -IS 7441 0 0 0 0 -IS 7442 0 0 0 0 -IS 7443 1 1 0 0 -IS 7444 0 0 0 0 -IS 7445 0 0 0 0 -IS 7446 0 0 0 0 -IS 7447 1 1 0 0 -IS 7448 0 0 0 0 -IS 7449 0 0 0 0 -IS 7450 0 0 0 0 -IS 7451 1 1 0 0 -IS 7452 1 1 0 0 -IS 7453 0 0 0 0 -IS 7454 1 1 0 0 -IS 7455 0 0 0 0 -IS 7456 0 0 0 0 -IS 7457 1 1 0 0 -IS 7458 1 1 0 0 -IS 7459 0 0 0 0 -IS 7460 0 0 0 0 -IS 7461 0 0 0 0 -IS 7462 0 0 0 0 -IS 7463 0 0 0 0 -IS 7464 0 0 0 0 -IS 7465 0 0 0 0 -IS 7466 1 1 0 0 -IS 7467 1 1 0 0 -IS 7468 0 0 0 0 -IS 7469 0 0 0 0 -IS 7470 2 2 0 0 -IS 7471 0 0 0 0 -IS 7472 1 1 0 0 -IS 7473 1 1 0 0 -IS 7474 1 1 0 0 -IS 7475 1 1 0 0 -IS 7476 2 2 0 0 -IS 7477 0 0 0 0 -IS 7478 2 2 0 0 -IS 7479 0 0 0 0 -IS 7480 1 1 0 0 -IS 7481 1 1 0 0 -IS 7482 1 1 0 0 -IS 7483 1 1 0 0 -IS 7484 0 0 0 0 -IS 7485 2 2 0 0 -IS 7486 0 0 0 0 -IS 7487 2 2 0 0 -IS 7488 3 3 0 0 -IS 7489 0 0 0 0 -IS 7490 1 1 0 0 -IS 7491 2 2 0 0 -IS 7492 2 2 0 0 -IS 7493 0 0 0 0 -IS 7494 2 2 0 0 -IS 7495 4 4 0 0 -IS 7496 3 3 0 0 -IS 7497 0 0 0 0 -IS 7498 0 0 0 0 -IS 7499 1 1 0 0 -IS 7500 2 2 0 0 -IS 7501 1 1 0 0 -IS 7502 4 4 0 0 -IS 7503 1 1 0 0 -IS 7504 3 3 0 0 -IS 7505 1 1 0 0 -IS 7506 6 6 0 0 -IS 7507 1 1 0 0 -IS 7508 9 9 0 0 -IS 7509 1 1 0 0 -IS 7510 4 4 0 0 -IS 7511 6 6 0 0 -IS 7512 6 6 0 0 -IS 7513 3 3 0 0 -IS 7514 3 3 0 0 -IS 7515 6 6 0 0 -IS 7516 7 7 0 0 -IS 7517 7 7 0 0 -IS 7518 3 3 0 0 -IS 7519 7 7 0 0 -IS 7520 12 12 0 0 -IS 7521 5 5 0 0 -IS 7522 10 10 0 0 -IS 7523 7 7 0 0 -IS 7524 8 8 0 0 -IS 7525 6 6 0 0 -IS 7526 6 6 0 0 -IS 7527 6 6 0 0 -IS 7528 5 5 0 0 -IS 7529 8 8 0 0 -IS 7530 5 5 0 0 -IS 7531 9 9 0 0 -IS 7532 10 10 0 0 -IS 7533 9 9 0 0 -IS 7534 4 4 0 0 -IS 7535 3 3 0 0 -IS 7536 8 8 0 0 -IS 7537 9 9 0 0 -IS 7538 10 10 0 0 -IS 7539 12 12 0 0 -IS 7540 10 10 0 0 -IS 7541 8 8 0 0 -IS 7542 7 7 0 0 -IS 7543 14 14 0 0 -IS 7544 6 6 0 0 -IS 7545 7 7 0 0 -IS 7546 9 9 0 0 -IS 7547 9 9 0 0 -IS 7548 10 10 0 0 -IS 7549 13 13 0 0 -IS 7550 7 7 0 0 -IS 7551 9 9 0 0 -IS 7552 6 6 0 0 -IS 7553 4 4 0 0 -IS 7554 3 3 0 0 -IS 7555 4 4 0 0 -IS 7556 7 7 0 0 -IS 7557 4 4 0 0 -IS 7558 8 8 0 0 -IS 7559 4 4 0 0 -IS 7560 9 9 0 0 -IS 7561 6 6 0 0 -IS 7562 2 2 0 0 -IS 7563 3 3 0 0 -IS 7564 2 2 0 0 -IS 7565 3 3 0 0 -IS 7566 3 3 0 0 -IS 7567 4 4 0 0 -IS 7568 4 4 0 0 -IS 7569 2 2 0 0 -IS 7570 0 0 0 0 -IS 7571 2 2 0 0 -IS 7572 1 1 0 0 -IS 7573 4 4 0 0 -IS 7574 2 2 0 0 -IS 7575 1 1 0 0 -IS 7576 2 2 0 0 -IS 7577 1 1 0 0 -IS 7578 0 0 0 0 -IS 7579 0 0 0 0 -IS 7580 0 0 0 0 -IS 7581 2 2 0 0 -IS 7582 0 0 0 0 -IS 7583 1 1 0 0 -IS 7584 0 0 0 0 -IS 7585 0 0 0 0 -IS 7586 2 2 0 0 -IS 7587 0 0 0 0 -IS 7588 0 0 0 0 -IS 7589 2 2 0 0 -IS 7590 0 0 0 0 -IS 7591 0 0 0 0 -IS 7592 0 0 0 0 -IS 7593 2 2 0 0 -IS 7594 0 0 0 0 -IS 7595 1 1 0 0 -IS 7596 0 0 0 0 -IS 7597 0 0 0 0 -IS 7598 2 2 0 0 -IS 7599 0 0 0 0 -IS 7600 0 0 0 0 -IS 7601 2 2 0 0 -IS 7602 0 0 0 0 -IS 7603 0 0 0 0 -IS 7604 0 0 0 0 -IS 7605 0 0 0 0 -IS 7606 2 2 0 0 -IS 7607 0 0 0 0 -IS 7608 0 0 0 0 -IS 7609 1 1 0 0 -IS 7610 0 0 0 0 -IS 7611 2 2 0 0 -IS 7612 0 0 0 0 -IS 7613 0 0 0 0 -IS 7614 0 0 0 0 -IS 7615 1 1 0 0 -IS 7616 0 0 0 0 -IS 7617 0 0 0 0 -IS 7618 0 0 0 0 -IS 7619 1 1 0 0 -IS 7620 0 0 0 0 -IS 7621 1 1 0 0 -IS 7622 1 1 0 0 -IS 7623 0 0 0 0 -IS 7624 2 2 0 0 -IS 7625 0 0 0 0 -IS 7626 0 0 0 0 -IS 7627 1 1 0 0 -IS 7628 1 1 0 0 -IS 7629 0 0 0 0 -IS 7630 1 1 0 0 -IS 7631 0 0 0 0 -IS 7632 0 0 0 0 -IS 7633 0 0 0 0 -IS 7634 0 0 0 0 -IS 7635 0 0 0 0 -IS 7636 0 0 0 0 -IS 7637 0 0 0 0 -IS 7638 0 0 0 0 -IS 7639 0 0 0 0 -IS 7640 0 0 0 0 -IS 7641 0 0 0 0 -IS 7642 0 0 0 0 -IS 7643 0 0 0 0 -IS 7644 0 0 0 0 -IS 7645 0 0 0 0 -IS 7646 0 0 0 0 -IS 7647 0 0 0 0 -IS 7648 0 0 0 0 -IS 7649 0 0 0 0 -IS 7650 0 0 0 0 -IS 7651 0 0 0 0 -IS 7652 0 0 0 0 -IS 7653 0 0 0 0 -IS 7654 0 0 0 0 -IS 7655 0 0 0 0 -IS 7656 0 0 0 0 -IS 7657 1 1 0 0 -IS 7658 1 1 0 0 -IS 7659 0 0 0 0 -IS 7660 0 0 0 0 -IS 7661 2 2 0 0 -IS 7662 0 0 0 0 -IS 7663 0 0 0 0 -IS 7664 0 0 0 0 -IS 7665 0 0 0 0 -IS 7666 0 0 0 0 -IS 7667 0 0 0 0 -IS 7668 0 0 0 0 -IS 7669 0 0 0 0 -IS 7670 0 0 0 0 -IS 7671 0 0 0 0 -IS 7672 0 0 0 0 -IS 7673 0 0 0 0 -IS 7674 0 0 0 0 -IS 7675 0 0 0 0 -IS 7676 1 1 0 0 -IS 7677 0 0 0 0 -IS 7678 0 0 0 0 -IS 7679 0 0 0 0 -IS 7680 0 0 0 0 -IS 7681 0 0 0 0 -IS 7682 0 0 0 0 -IS 7683 0 0 0 0 -IS 7684 0 0 0 0 -IS 7685 0 0 0 0 -IS 7686 0 0 0 0 -IS 7687 0 0 0 0 -IS 7688 1 1 0 0 -IS 7689 0 0 0 0 -IS 7690 0 0 0 0 -IS 7691 0 0 0 0 -IS 7692 0 0 0 0 -IS 7693 0 0 0 0 -IS 7694 0 0 0 0 -IS 7695 0 0 0 0 -IS 7696 1 1 0 0 -IS 7697 1 1 0 0 -IS 7698 0 0 0 0 -IS 7699 0 0 0 0 -IS 7700 1 1 0 0 -IS 7701 1 1 0 0 -IS 7702 1 1 0 0 -IS 7703 0 0 0 0 -IS 7704 0 0 0 0 -IS 7705 0 0 0 0 -IS 7706 0 0 0 0 -IS 7707 0 0 0 0 -IS 7708 0 0 0 0 -IS 7709 0 0 0 0 -IS 7710 0 0 0 0 -IS 7711 0 0 0 0 -IS 7712 0 0 0 0 -IS 7713 0 0 0 0 -IS 7714 0 0 0 0 -IS 7715 0 0 0 0 -IS 7716 0 0 0 0 -IS 7717 0 0 0 0 -IS 7718 0 0 0 0 -IS 7719 0 0 0 0 -IS 7720 0 0 0 0 -IS 7721 0 0 0 0 -IS 7722 0 0 0 0 -IS 7723 0 0 0 0 -IS 7724 0 0 0 0 -IS 7725 0 0 0 0 -IS 7726 0 0 0 0 -IS 7727 0 0 0 0 -IS 7728 0 0 0 0 -IS 7729 0 0 0 0 -IS 7730 0 0 0 0 -IS 7731 0 0 0 0 -IS 7732 0 0 0 0 -IS 7733 0 0 0 0 -IS 7734 0 0 0 0 -IS 7735 0 0 0 0 -IS 7736 0 0 0 0 -IS 7737 0 0 0 0 -IS 7738 0 0 0 0 -IS 7739 0 0 0 0 -IS 7740 2 1 1 0 -IS 7741 1 0 1 0 -IS 7742 4 4 0 0 -IS 7743 0 0 0 0 -IS 7744 2 2 0 0 -IS 7745 1 1 0 0 -IS 7746 0 0 0 0 -IS 7747 1 1 0 0 -IS 7748 2 2 0 0 -IS 7749 0 0 0 0 -IS 7750 1 1 0 0 -IS 7751 0 0 0 0 -IS 7752 1 1 0 0 -IS 7753 1 1 0 0 -IS 7754 0 0 0 0 -IS 7755 1 1 0 0 -IS 7756 1 1 0 0 -IS 7757 3 3 0 0 -IS 7758 1 1 0 0 -IS 7759 1 1 0 0 -IS 7760 2 2 0 0 -IS 7761 0 0 0 0 -IS 7762 3 3 0 0 -IS 7763 1 1 0 0 -IS 7764 3 3 0 0 -IS 7765 3 3 0 0 -IS 7766 2 2 0 0 -IS 7767 3 3 0 0 -IS 7768 1 1 0 0 -IS 7769 4 4 0 0 -IS 7770 2 2 0 0 -IS 7771 2 2 0 0 -IS 7772 3 3 0 0 -IS 7773 4 4 0 0 -IS 7774 4 4 0 0 -IS 7775 1 1 0 0 -IS 7776 3 3 0 0 -IS 7777 4 4 0 0 -IS 7778 3 3 0 0 -IS 7779 4 4 0 0 -IS 7780 9 9 0 0 -IS 7781 8 8 0 0 -IS 7782 8 8 0 0 -IS 7783 7 7 0 0 -IS 7784 6 6 0 0 -IS 7785 11 11 0 0 -IS 7786 8 8 0 0 -IS 7787 7 7 0 0 -IS 7788 10 10 0 0 -IS 7789 9 9 0 0 -IS 7790 8 8 0 0 -IS 7791 10 10 0 0 -IS 7792 7 7 0 0 -IS 7793 11 11 0 0 -IS 7794 11 11 0 0 -IS 7795 11 11 0 0 -IS 7796 14 14 0 0 -IS 7797 11 11 0 0 -IS 7798 9 9 0 0 -IS 7799 12 12 0 0 -IS 7800 14 14 0 0 -IS 7801 13 13 0 0 -IS 7802 14 14 0 0 -IS 7803 13 13 0 0 -IS 7804 13 13 0 0 -IS 7805 12 12 0 0 -IS 7806 12 12 0 0 -IS 7807 9 9 0 0 -IS 7808 13 13 0 0 -IS 7809 12 12 0 0 -IS 7810 10 10 0 0 -IS 7811 14 14 0 0 -IS 7812 15 15 0 0 -IS 7813 13 13 0 0 -IS 7814 10 10 0 0 -IS 7815 12 12 0 0 -IS 7816 8 8 0 0 -IS 7817 6 6 0 0 -IS 7818 11 11 0 0 -IS 7819 8 8 0 0 -IS 7820 10 10 0 0 -IS 7821 8 8 0 0 -IS 7822 12 12 0 0 -IS 7823 9 9 0 0 -IS 7824 8 8 0 0 -IS 7825 8 8 0 0 -IS 7826 5 5 0 0 -IS 7827 10 10 0 0 -IS 7828 7 7 0 0 -IS 7829 7 7 0 0 -IS 7830 9 9 0 0 -IS 7831 4 4 0 0 -IS 7832 5 5 0 0 -IS 7833 4 4 0 0 -IS 7834 6 6 0 0 -IS 7835 4 4 0 0 -IS 7836 3 3 0 0 -IS 7837 5 5 0 0 -IS 7838 6 6 0 0 -IS 7839 6 6 0 0 -IS 7840 4 4 0 0 -IS 7841 1 1 0 0 -IS 7842 0 0 0 0 -IS 7843 0 0 0 0 -IS 7844 1 1 0 0 -IS 7845 2 2 0 0 -IS 7846 1 1 0 0 -IS 7847 2 2 0 0 -IS 7848 0 0 0 0 -IS 7849 1 1 0 0 -IS 7850 0 0 0 0 -IS 7851 0 0 0 0 -IS 7852 0 0 0 0 -IS 7853 0 0 0 0 -IS 7854 0 0 0 0 -IS 7855 0 0 0 0 -IS 7856 0 0 0 0 -IS 7857 0 0 0 0 -IS 7858 0 0 0 0 -IS 7859 0 0 0 0 -IS 7860 1 1 0 0 -IS 7861 1 1 0 0 -IS 7862 1 1 0 0 -IS 7863 0 0 0 0 -IS 7864 0 0 0 0 -IS 7865 0 0 0 0 -IS 7866 0 0 0 0 -IS 7867 1 1 0 0 -IS 7868 0 0 0 0 -IS 7869 0 0 0 0 -IS 7870 1 1 0 0 -IS 7871 0 0 0 0 -IS 7872 0 0 0 0 -IS 7873 1 1 0 0 -IS 7874 0 0 0 0 -IS 7875 0 0 0 0 -IS 7876 0 0 0 0 -IS 7877 0 0 0 0 -IS 7878 1 1 0 0 -IS 7879 0 0 0 0 -IS 7880 0 0 0 0 -IS 7881 0 0 0 0 -IS 7882 0 0 0 0 -IS 7883 0 0 0 0 -IS 7884 0 0 0 0 -IS 7885 0 0 0 0 -IS 7886 0 0 0 0 -IS 7887 0 0 0 0 -IS 7888 0 0 0 0 -IS 7889 1 1 0 0 -IS 7890 0 0 0 0 -IS 7891 0 0 0 0 -IS 7892 1 1 0 0 -IS 7893 0 0 0 0 -IS 7894 1 1 0 0 -IS 7895 0 0 0 0 -IS 7896 1 1 0 0 -IS 7897 0 0 0 0 -IS 7898 1 1 0 0 -IS 7899 0 0 0 0 -IS 7900 0 0 0 0 -IS 7901 0 0 0 0 -IS 7902 0 0 0 0 -IS 7903 0 0 0 0 -IS 7904 1 1 0 0 -IS 7905 0 0 0 0 -IS 7906 0 0 0 0 -IS 7907 0 0 0 0 -IS 7908 0 0 0 0 -IS 7909 0 0 0 0 -IS 7910 0 0 0 0 -IS 7911 0 0 0 0 -IS 7912 0 0 0 0 -IS 7913 0 0 0 0 -IS 7914 0 0 0 0 -IS 7915 0 0 0 0 -IS 7916 0 0 0 0 -IS 7917 0 0 0 0 -IS 7918 0 0 0 0 -IS 7919 0 0 0 0 -IS 7920 0 0 0 0 -IS 7921 0 0 0 0 -IS 7922 0 0 0 0 -IS 7923 0 0 0 0 -IS 7924 0 0 0 0 -IS 7925 0 0 0 0 -IS 7926 0 0 0 0 -IS 7927 0 0 0 0 -IS 7928 0 0 0 0 -IS 7929 0 0 0 0 -IS 7930 0 0 0 0 -IS 7931 0 0 0 0 -IS 7932 0 0 0 0 -IS 7933 0 0 0 0 -IS 7934 0 0 0 0 -IS 7935 0 0 0 0 -IS 7936 0 0 0 0 -IS 7937 0 0 0 0 -IS 7938 0 0 0 0 -IS 7939 0 0 0 0 -IS 7940 0 0 0 0 -IS 7941 0 0 0 0 -IS 7942 0 0 0 0 -IS 7943 0 0 0 0 -IS 7944 1 1 0 0 -IS 7945 0 0 0 0 -IS 7946 0 0 0 0 -IS 7947 0 0 0 0 -IS 7948 0 0 0 0 -IS 7949 0 0 0 0 -IS 7950 0 0 0 0 -IS 7951 0 0 0 0 -IS 7952 0 0 0 0 -IS 7953 0 0 0 0 -IS 7954 0 0 0 0 -IS 7955 0 0 0 0 -IS 7956 0 0 0 0 -IS 7957 0 0 0 0 -IS 7958 0 0 0 0 -IS 7959 1 1 0 0 -IS 7960 1 1 0 0 -IS 7961 0 0 0 0 -IS 7962 0 0 0 0 -IS 7963 0 0 0 0 -IS 7964 0 0 0 0 -IS 7965 0 0 0 0 -IS 7966 0 0 0 0 -IS 7967 0 0 0 0 -IS 7968 0 0 0 0 -IS 7969 1 1 0 0 -IS 7970 0 0 0 0 -IS 7971 0 0 0 0 -IS 7972 0 0 0 0 -IS 7973 0 0 0 0 -IS 7974 0 0 0 0 -IS 7975 0 0 0 0 -IS 7976 0 0 0 0 -IS 7977 1 1 0 0 -IS 7978 0 0 0 0 -IS 7979 0 0 0 0 -IS 7980 0 0 0 0 -IS 7981 0 0 0 0 -IS 7982 0 0 0 0 -IS 7983 0 0 0 0 -IS 7984 0 0 0 0 -IS 7985 1 1 0 0 -IS 7986 0 0 0 0 -IS 7987 0 0 0 0 -IS 7988 1 1 0 0 -IS 7989 0 0 0 0 -IS 7990 0 0 0 0 -IS 7991 1 1 0 0 -IS 7992 0 0 0 0 -IS 7993 1 1 0 0 -IS 7994 1 1 0 0 -IS 7995 0 0 0 0 -IS 7996 0 0 0 0 -IS 7997 0 0 0 0 -IS 7998 2 2 0 0 -IS 7999 3573 3553 11 9 -# Read lengths. Use `grep ^RL | cut -f 2-` to extract this part. The columns are: read length, count -RL 101 641821 -# Indel distribution. Use `grep ^ID | cut -f 2-` to extract this part. The columns are: length, number of insertions, number of deletions -ID 1 4895 3362 -ID 2 826 512 -# Indels per cycle. Use `grep ^IC | cut -f 2-` to extract this part. The columns are: cycle, number of insertions (fwd), .. (rev) , number of deletions (fwd), .. (rev) -IC 2 0 3 0 0 -IC 3 8 9 2 2 -IC 4 14 13 33 36 -IC 5 58 65 31 35 -IC 6 58 67 19 20 -IC 7 31 30 14 13 -IC 8 32 32 12 13 -IC 9 27 41 15 13 -IC 10 15 21 25 17 -IC 11 29 24 27 22 -IC 12 20 18 19 18 -IC 13 31 23 29 21 -IC 14 25 32 15 16 -IC 15 33 29 22 20 -IC 16 24 15 23 23 -IC 17 24 20 25 22 -IC 18 27 30 20 35 -IC 19 30 39 35 47 -IC 20 30 25 38 22 -IC 21 36 29 30 25 -IC 22 31 23 26 24 -IC 23 25 43 32 29 -IC 24 31 35 20 19 -IC 25 30 33 17 13 -IC 26 39 28 16 15 -IC 27 50 56 24 18 -IC 28 31 26 10 17 -IC 29 34 31 21 20 -IC 30 26 28 25 19 -IC 31 27 27 22 20 -IC 32 28 37 20 22 -IC 33 24 24 25 10 -IC 34 22 32 24 23 -IC 35 36 25 19 15 -IC 36 26 23 15 29 -IC 37 15 20 30 29 -IC 38 25 32 18 21 -IC 39 20 23 25 24 -IC 40 31 47 26 21 -IC 41 23 29 29 29 -IC 42 27 24 16 17 -IC 43 25 29 21 29 -IC 44 27 32 19 13 -IC 45 36 40 19 26 -IC 46 24 29 21 24 -IC 47 33 28 16 14 -IC 48 41 38 10 16 -IC 49 32 39 22 24 -IC 50 34 29 18 15 -IC 51 15 21 31 28 -IC 52 40 37 28 13 -IC 53 26 21 24 19 -IC 54 20 21 12 22 -IC 55 29 28 17 21 -IC 56 22 20 13 15 -IC 57 23 15 33 30 -IC 58 28 23 19 19 -IC 59 43 39 21 20 -IC 60 38 39 20 21 -IC 61 25 23 21 24 -IC 62 29 21 15 18 -IC 63 39 25 17 14 -IC 64 27 23 11 17 -IC 65 20 35 26 31 -IC 66 23 30 24 13 -IC 67 35 29 22 29 -IC 68 20 24 21 27 -IC 69 28 27 21 14 -IC 70 41 28 21 13 -IC 71 36 35 15 22 -IC 72 25 24 15 18 -IC 73 15 27 18 15 -IC 74 24 27 22 19 -IC 75 28 38 18 22 -IC 76 29 46 24 16 -IC 77 28 48 22 14 -IC 78 23 21 15 28 -IC 79 30 34 26 23 -IC 80 34 30 29 19 -IC 81 31 32 14 17 -IC 82 33 28 20 15 -IC 83 37 20 28 9 -IC 84 27 26 19 12 -IC 85 31 25 16 14 -IC 86 22 26 14 13 -IC 87 30 23 20 23 -IC 88 33 24 8 13 -IC 89 31 26 17 24 -IC 90 34 30 11 19 -IC 91 34 17 16 17 -IC 92 29 29 14 16 -IC 93 23 29 9 9 -IC 94 18 40 13 18 -IC 95 28 48 18 12 -IC 96 42 49 26 27 -IC 97 48 64 36 35 -IC 98 25 28 1 1 -IC 99 10 9 0 0 -# Coverage distribution. Use `grep ^COV | cut -f 2-` to extract this part. -COV [1-1] 1 639227 -COV [2-2] 2 385861 -COV [3-3] 3 200311 -COV [4-4] 4 140538 -COV [5-5] 5 100920 -COV [6-6] 6 78198 -COV [7-7] 7 63261 -COV [8-8] 8 53571 -COV [9-9] 9 45160 -COV [10-10] 10 40242 -COV [11-11] 11 35638 -COV [12-12] 12 32108 -COV [13-13] 13 28874 -COV [14-14] 14 26269 -COV [15-15] 15 24346 -COV [16-16] 16 22055 -COV [17-17] 17 19763 -COV [18-18] 18 18165 -COV [19-19] 19 17543 -COV [20-20] 20 16315 -COV [21-21] 21 16254 -COV [22-22] 22 14587 -COV [23-23] 23 13217 -COV [24-24] 24 12790 -COV [25-25] 25 12207 -COV [26-26] 26 11415 -COV [27-27] 27 10704 -COV [28-28] 28 9967 -COV [29-29] 29 9972 -COV [30-30] 30 9503 -COV [31-31] 31 9486 -COV [32-32] 32 8859 -COV [33-33] 33 8810 -COV [34-34] 34 8445 -COV [35-35] 35 7811 -COV [36-36] 36 7790 -COV [37-37] 37 7349 -COV [38-38] 38 7298 -COV [39-39] 39 6735 -COV [40-40] 40 6474 -COV [41-41] 41 6543 -COV [42-42] 42 6136 -COV [43-43] 43 6119 -COV [44-44] 44 5783 -COV [45-45] 45 5411 -COV [46-46] 46 5548 -COV [47-47] 47 5121 -COV [48-48] 48 5074 -COV [49-49] 49 4915 -COV [50-50] 50 4760 -COV [51-51] 51 4813 -COV [52-52] 52 4591 -COV [53-53] 53 4309 -COV [54-54] 54 3935 -COV [55-55] 55 4026 -COV [56-56] 56 3923 -COV [57-57] 57 3709 -COV [58-58] 58 3561 -COV [59-59] 59 3609 -COV [60-60] 60 3413 -COV [61-61] 61 3414 -COV [62-62] 62 3233 -COV [63-63] 63 3285 -COV [64-64] 64 3172 -COV [65-65] 65 3188 -COV [66-66] 66 2992 -COV [67-67] 67 2840 -COV [68-68] 68 3046 -COV [69-69] 69 2891 -COV [70-70] 70 2646 -COV [71-71] 71 2584 -COV [72-72] 72 2724 -COV [73-73] 73 2563 -COV [74-74] 74 2439 -COV [75-75] 75 2286 -COV [76-76] 76 2219 -COV [77-77] 77 2212 -COV [78-78] 78 2172 -COV [79-79] 79 2027 -COV [80-80] 80 1978 -COV [81-81] 81 2120 -COV [82-82] 82 2141 -COV [83-83] 83 1983 -COV [84-84] 84 2075 -COV [85-85] 85 1855 -COV [86-86] 86 1761 -COV [87-87] 87 1824 -COV [88-88] 88 1805 -COV [89-89] 89 1663 -COV [90-90] 90 1661 -COV [91-91] 91 1671 -COV [92-92] 92 1618 -COV [93-93] 93 1675 -COV [94-94] 94 1480 -COV [95-95] 95 1460 -COV [96-96] 96 1400 -COV [97-97] 97 1447 -COV [98-98] 98 1402 -COV [99-99] 99 1484 -COV [100-100] 100 1364 -COV [101-101] 101 1364 -COV [102-102] 102 1435 -COV [103-103] 103 1373 -COV [104-104] 104 1299 -COV [105-105] 105 1267 -COV [106-106] 106 1208 -COV [107-107] 107 1157 -COV [108-108] 108 1171 -COV [109-109] 109 1115 -COV [110-110] 110 1089 -COV [111-111] 111 1109 -COV [112-112] 112 1057 -COV [113-113] 113 1018 -COV [114-114] 114 1011 -COV [115-115] 115 976 -COV [116-116] 116 970 -COV [117-117] 117 887 -COV [118-118] 118 889 -COV [119-119] 119 876 -COV [120-120] 120 914 -COV [121-121] 121 835 -COV [122-122] 122 819 -COV [123-123] 123 751 -COV [124-124] 124 753 -COV [125-125] 125 766 -COV [126-126] 126 733 -COV [127-127] 127 650 -COV [128-128] 128 737 -COV [129-129] 129 745 -COV [130-130] 130 636 -COV [131-131] 131 643 -COV [132-132] 132 612 -COV [133-133] 133 668 -COV [134-134] 134 668 -COV [135-135] 135 645 -COV [136-136] 136 570 -COV [137-137] 137 587 -COV [138-138] 138 571 -COV [139-139] 139 616 -COV [140-140] 140 618 -COV [141-141] 141 571 -COV [142-142] 142 582 -COV [143-143] 143 535 -COV [144-144] 144 547 -COV [145-145] 145 519 -COV [146-146] 146 500 -COV [147-147] 147 500 -COV [148-148] 148 483 -COV [149-149] 149 463 -COV [150-150] 150 494 -COV [151-151] 151 474 -COV [152-152] 152 445 -COV [153-153] 153 477 -COV [154-154] 154 457 -COV [155-155] 155 427 -COV [156-156] 156 444 -COV [157-157] 157 436 -COV [158-158] 158 393 -COV [159-159] 159 382 -COV [160-160] 160 400 -COV [161-161] 161 436 -COV [162-162] 162 395 -COV [163-163] 163 387 -COV [164-164] 164 397 -COV [165-165] 165 419 -COV [166-166] 166 404 -COV [167-167] 167 393 -COV [168-168] 168 413 -COV [169-169] 169 415 -COV [170-170] 170 358 -COV [171-171] 171 335 -COV [172-172] 172 328 -COV [173-173] 173 334 -COV [174-174] 174 286 -COV [175-175] 175 315 -COV [176-176] 176 290 -COV [177-177] 177 305 -COV [178-178] 178 290 -COV [179-179] 179 285 -COV [180-180] 180 303 -COV [181-181] 181 251 -COV [182-182] 182 261 -COV [183-183] 183 265 -COV [184-184] 184 269 -COV [185-185] 185 242 -COV [186-186] 186 301 -COV [187-187] 187 284 -COV [188-188] 188 291 -COV [189-189] 189 293 -COV [190-190] 190 225 -COV [191-191] 191 255 -COV [192-192] 192 242 -COV [193-193] 193 247 -COV [194-194] 194 245 -COV [195-195] 195 205 -COV [196-196] 196 235 -COV [197-197] 197 236 -COV [198-198] 198 213 -COV [199-199] 199 217 -COV [200-200] 200 215 -COV [201-201] 201 175 -COV [202-202] 202 182 -COV [203-203] 203 206 -COV [204-204] 204 181 -COV [205-205] 205 212 -COV [206-206] 206 210 -COV [207-207] 207 212 -COV [208-208] 208 163 -COV [209-209] 209 216 -COV [210-210] 210 174 -COV [211-211] 211 195 -COV [212-212] 212 161 -COV [213-213] 213 182 -COV [214-214] 214 174 -COV [215-215] 215 147 -COV [216-216] 216 176 -COV [217-217] 217 185 -COV [218-218] 218 143 -COV [219-219] 219 154 -COV [220-220] 220 137 -COV [221-221] 221 159 -COV [222-222] 222 209 -COV [223-223] 223 168 -COV [224-224] 224 152 -COV [225-225] 225 161 -COV [226-226] 226 162 -COV [227-227] 227 177 -COV [228-228] 228 136 -COV [229-229] 229 127 -COV [230-230] 230 149 -COV [231-231] 231 151 -COV [232-232] 232 108 -COV [233-233] 233 139 -COV [234-234] 234 150 -COV [235-235] 235 153 -COV [236-236] 236 120 -COV [237-237] 237 128 -COV [238-238] 238 142 -COV [239-239] 239 113 -COV [240-240] 240 130 -COV [241-241] 241 112 -COV [242-242] 242 134 -COV [243-243] 243 145 -COV [244-244] 244 111 -COV [245-245] 245 174 -COV [246-246] 246 166 -COV [247-247] 247 144 -COV [248-248] 248 186 -COV [249-249] 249 130 -COV [250-250] 250 107 -COV [251-251] 251 153 -COV [252-252] 252 134 -COV [253-253] 253 135 -COV [254-254] 254 131 -COV [255-255] 255 110 -COV [256-256] 256 117 -COV [257-257] 257 113 -COV [258-258] 258 131 -COV [259-259] 259 107 -COV [260-260] 260 104 -COV [261-261] 261 131 -COV [262-262] 262 112 -COV [263-263] 263 128 -COV [264-264] 264 97 -COV [265-265] 265 129 -COV [266-266] 266 132 -COV [267-267] 267 95 -COV [268-268] 268 98 -COV [269-269] 269 115 -COV [270-270] 270 105 -COV [271-271] 271 121 -COV [272-272] 272 109 -COV [273-273] 273 115 -COV [274-274] 274 101 -COV [275-275] 275 97 -COV [276-276] 276 134 -COV [277-277] 277 112 -COV [278-278] 278 134 -COV [279-279] 279 133 -COV [280-280] 280 113 -COV [281-281] 281 104 -COV [282-282] 282 127 -COV [283-283] 283 126 -COV [284-284] 284 115 -COV [285-285] 285 115 -COV [286-286] 286 116 -COV [287-287] 287 99 -COV [288-288] 288 109 -COV [289-289] 289 107 -COV [290-290] 290 106 -COV [291-291] 291 96 -COV [292-292] 292 92 -COV [293-293] 293 93 -COV [294-294] 294 98 -COV [295-295] 295 95 -COV [296-296] 296 98 -COV [297-297] 297 116 -COV [298-298] 298 104 -COV [299-299] 299 108 -COV [300-300] 300 107 -COV [301-301] 301 106 -COV [302-302] 302 105 -COV [303-303] 303 114 -COV [304-304] 304 116 -COV [305-305] 305 91 -COV [306-306] 306 107 -COV [307-307] 307 114 -COV [308-308] 308 109 -COV [309-309] 309 111 -COV [310-310] 310 101 -COV [311-311] 311 132 -COV [312-312] 312 115 -COV [313-313] 313 120 -COV [314-314] 314 86 -COV [315-315] 315 109 -COV [316-316] 316 125 -COV [317-317] 317 126 -COV [318-318] 318 111 -COV [319-319] 319 106 -COV [320-320] 320 110 -COV [321-321] 321 107 -COV [322-322] 322 91 -COV [323-323] 323 100 -COV [324-324] 324 99 -COV [325-325] 325 100 -COV [326-326] 326 97 -COV [327-327] 327 122 -COV [328-328] 328 97 -COV [329-329] 329 142 -COV [330-330] 330 109 -COV [331-331] 331 114 -COV [332-332] 332 105 -COV [333-333] 333 109 -COV [334-334] 334 107 -COV [335-335] 335 97 -COV [336-336] 336 108 -COV [337-337] 337 86 -COV [338-338] 338 101 -COV [339-339] 339 95 -COV [340-340] 340 90 -COV [341-341] 341 93 -COV [342-342] 342 84 -COV [343-343] 343 92 -COV [344-344] 344 96 -COV [345-345] 345 105 -COV [346-346] 346 88 -COV [347-347] 347 90 -COV [348-348] 348 84 -COV [349-349] 349 85 -COV [350-350] 350 73 -COV [351-351] 351 99 -COV [352-352] 352 104 -COV [353-353] 353 95 -COV [354-354] 354 95 -COV [355-355] 355 95 -COV [356-356] 356 98 -COV [357-357] 357 125 -COV [358-358] 358 72 -COV [359-359] 359 71 -COV [360-360] 360 84 -COV [361-361] 361 84 -COV [362-362] 362 75 -COV [363-363] 363 95 -COV [364-364] 364 74 -COV [365-365] 365 78 -COV [366-366] 366 82 -COV [367-367] 367 81 -COV [368-368] 368 67 -COV [369-369] 369 79 -COV [370-370] 370 81 -COV [371-371] 371 74 -COV [372-372] 372 85 -COV [373-373] 373 72 -COV [374-374] 374 76 -COV [375-375] 375 62 -COV [376-376] 376 81 -COV [377-377] 377 82 -COV [378-378] 378 74 -COV [379-379] 379 55 -COV [380-380] 380 71 -COV [381-381] 381 80 -COV [382-382] 382 74 -COV [383-383] 383 69 -COV [384-384] 384 65 -COV [385-385] 385 78 -COV [386-386] 386 80 -COV [387-387] 387 72 -COV [388-388] 388 67 -COV [389-389] 389 81 -COV [390-390] 390 71 -COV [391-391] 391 53 -COV [392-392] 392 67 -COV [393-393] 393 49 -COV [394-394] 394 78 -COV [395-395] 395 85 -COV [396-396] 396 65 -COV [397-397] 397 69 -COV [398-398] 398 62 -COV [399-399] 399 68 -COV [400-400] 400 68 -COV [401-401] 401 56 -COV [402-402] 402 64 -COV [403-403] 403 45 -COV [404-404] 404 64 -COV [405-405] 405 64 -COV [406-406] 406 76 -COV [407-407] 407 82 -COV [408-408] 408 76 -COV [409-409] 409 69 -COV [410-410] 410 63 -COV [411-411] 411 66 -COV [412-412] 412 79 -COV [413-413] 413 56 -COV [414-414] 414 62 -COV [415-415] 415 63 -COV [416-416] 416 75 -COV [417-417] 417 61 -COV [418-418] 418 53 -COV [419-419] 419 57 -COV [420-420] 420 59 -COV [421-421] 421 50 -COV [422-422] 422 63 -COV [423-423] 423 63 -COV [424-424] 424 41 -COV [425-425] 425 71 -COV [426-426] 426 70 -COV [427-427] 427 59 -COV [428-428] 428 54 -COV [429-429] 429 52 -COV [430-430] 430 54 -COV [431-431] 431 56 -COV [432-432] 432 58 -COV [433-433] 433 59 -COV [434-434] 434 55 -COV [435-435] 435 43 -COV [436-436] 436 52 -COV [437-437] 437 50 -COV [438-438] 438 57 -COV [439-439] 439 66 -COV [440-440] 440 70 -COV [441-441] 441 55 -COV [442-442] 442 68 -COV [443-443] 443 61 -COV [444-444] 444 63 -COV [445-445] 445 64 -COV [446-446] 446 73 -COV [447-447] 447 61 -COV [448-448] 448 54 -COV [449-449] 449 56 -COV [450-450] 450 46 -COV [451-451] 451 69 -COV [452-452] 452 64 -COV [453-453] 453 53 -COV [454-454] 454 68 -COV [455-455] 455 65 -COV [456-456] 456 52 -COV [457-457] 457 68 -COV [458-458] 458 70 -COV [459-459] 459 59 -COV [460-460] 460 52 -COV [461-461] 461 60 -COV [462-462] 462 37 -COV [463-463] 463 59 -COV [464-464] 464 42 -COV [465-465] 465 70 -COV [466-466] 466 59 -COV [467-467] 467 44 -COV [468-468] 468 42 -COV [469-469] 469 52 -COV [470-470] 470 57 -COV [471-471] 471 75 -COV [472-472] 472 58 -COV [473-473] 473 48 -COV [474-474] 474 65 -COV [475-475] 475 61 -COV [476-476] 476 47 -COV [477-477] 477 47 -COV [478-478] 478 52 -COV [479-479] 479 43 -COV [480-480] 480 57 -COV [481-481] 481 45 -COV [482-482] 482 58 -COV [483-483] 483 63 -COV [484-484] 484 62 -COV [485-485] 485 57 -COV [486-486] 486 67 -COV [487-487] 487 65 -COV [488-488] 488 63 -COV [489-489] 489 67 -COV [490-490] 490 63 -COV [491-491] 491 62 -COV [492-492] 492 72 -COV [493-493] 493 62 -COV [494-494] 494 60 -COV [495-495] 495 60 -COV [496-496] 496 61 -COV [497-497] 497 70 -COV [498-498] 498 57 -COV [499-499] 499 62 -COV [500-500] 500 59 -COV [501-501] 501 51 -COV [502-502] 502 55 -COV [503-503] 503 59 -COV [504-504] 504 61 -COV [505-505] 505 56 -COV [506-506] 506 57 -COV [507-507] 507 57 -COV [508-508] 508 45 -COV [509-509] 509 62 -COV [510-510] 510 65 -COV [511-511] 511 40 -COV [512-512] 512 69 -COV [513-513] 513 64 -COV [514-514] 514 37 -COV [515-515] 515 57 -COV [516-516] 516 47 -COV [517-517] 517 38 -COV [518-518] 518 69 -COV [519-519] 519 38 -COV [520-520] 520 58 -COV [521-521] 521 51 -COV [522-522] 522 40 -COV [523-523] 523 47 -COV [524-524] 524 40 -COV [525-525] 525 49 -COV [526-526] 526 47 -COV [527-527] 527 38 -COV [528-528] 528 44 -COV [529-529] 529 55 -COV [530-530] 530 44 -COV [531-531] 531 32 -COV [532-532] 532 43 -COV [533-533] 533 41 -COV [534-534] 534 36 -COV [535-535] 535 46 -COV [536-536] 536 41 -COV [537-537] 537 54 -COV [538-538] 538 39 -COV [539-539] 539 49 -COV [540-540] 540 36 -COV [541-541] 541 34 -COV [542-542] 542 39 -COV [543-543] 543 47 -COV [544-544] 544 33 -COV [545-545] 545 29 -COV [546-546] 546 34 -COV [547-547] 547 36 -COV [548-548] 548 29 -COV [549-549] 549 34 -COV [550-550] 550 33 -COV [551-551] 551 70 -COV [552-552] 552 32 -COV [553-553] 553 45 -COV [554-554] 554 38 -COV [555-555] 555 31 -COV [556-556] 556 43 -COV [557-557] 557 38 -COV [558-558] 558 42 -COV [559-559] 559 29 -COV [560-560] 560 26 -COV [561-561] 561 23 -COV [562-562] 562 35 -COV [563-563] 563 39 -COV [564-564] 564 28 -COV [565-565] 565 30 -COV [566-566] 566 29 -COV [567-567] 567 30 -COV [568-568] 568 42 -COV [569-569] 569 42 -COV [570-570] 570 30 -COV [571-571] 571 23 -COV [572-572] 572 26 -COV [573-573] 573 37 -COV [574-574] 574 34 -COV [575-575] 575 35 -COV [576-576] 576 39 -COV [577-577] 577 34 -COV [578-578] 578 32 -COV [579-579] 579 28 -COV [580-580] 580 29 -COV [581-581] 581 25 -COV [582-582] 582 29 -COV [583-583] 583 43 -COV [584-584] 584 30 -COV [585-585] 585 34 -COV [586-586] 586 29 -COV [587-587] 587 29 -COV [588-588] 588 35 -COV [589-589] 589 27 -COV [590-590] 590 26 -COV [591-591] 591 25 -COV [592-592] 592 34 -COV [593-593] 593 29 -COV [594-594] 594 21 -COV [595-595] 595 22 -COV [596-596] 596 28 -COV [597-597] 597 33 -COV [598-598] 598 40 -COV [599-599] 599 28 -COV [600-600] 600 29 -COV [601-601] 601 39 -COV [602-602] 602 36 -COV [603-603] 603 28 -COV [604-604] 604 27 -COV [605-605] 605 27 -COV [606-606] 606 32 -COV [607-607] 607 24 -COV [608-608] 608 40 -COV [609-609] 609 36 -COV [610-610] 610 37 -COV [611-611] 611 29 -COV [612-612] 612 35 -COV [613-613] 613 30 -COV [614-614] 614 41 -COV [615-615] 615 36 -COV [616-616] 616 42 -COV [617-617] 617 35 -COV [618-618] 618 27 -COV [619-619] 619 32 -COV [620-620] 620 33 -COV [621-621] 621 27 -COV [622-622] 622 43 -COV [623-623] 623 34 -COV [624-624] 624 39 -COV [625-625] 625 36 -COV [626-626] 626 31 -COV [627-627] 627 42 -COV [628-628] 628 29 -COV [629-629] 629 38 -COV [630-630] 630 32 -COV [631-631] 631 30 -COV [632-632] 632 38 -COV [633-633] 633 39 -COV [634-634] 634 26 -COV [635-635] 635 30 -COV [636-636] 636 23 -COV [637-637] 637 34 -COV [638-638] 638 23 -COV [639-639] 639 28 -COV [640-640] 640 36 -COV [641-641] 641 30 -COV [642-642] 642 43 -COV [643-643] 643 37 -COV [644-644] 644 36 -COV [645-645] 645 32 -COV [646-646] 646 39 -COV [647-647] 647 29 -COV [648-648] 648 37 -COV [649-649] 649 40 -COV [650-650] 650 31 -COV [651-651] 651 32 -COV [652-652] 652 24 -COV [653-653] 653 19 -COV [654-654] 654 28 -COV [655-655] 655 29 -COV [656-656] 656 27 -COV [657-657] 657 33 -COV [658-658] 658 28 -COV [659-659] 659 18 -COV [660-660] 660 25 -COV [661-661] 661 33 -COV [662-662] 662 29 -COV [663-663] 663 31 -COV [664-664] 664 26 -COV [665-665] 665 35 -COV [666-666] 666 21 -COV [667-667] 667 27 -COV [668-668] 668 26 -COV [669-669] 669 22 -COV [670-670] 670 30 -COV [671-671] 671 31 -COV [672-672] 672 21 -COV [673-673] 673 34 -COV [674-674] 674 40 -COV [675-675] 675 35 -COV [676-676] 676 36 -COV [677-677] 677 32 -COV [678-678] 678 40 -COV [679-679] 679 33 -COV [680-680] 680 32 -COV [681-681] 681 23 -COV [682-682] 682 32 -COV [683-683] 683 27 -COV [684-684] 684 32 -COV [685-685] 685 30 -COV [686-686] 686 31 -COV [687-687] 687 26 -COV [688-688] 688 28 -COV [689-689] 689 31 -COV [690-690] 690 22 -COV [691-691] 691 27 -COV [692-692] 692 22 -COV [693-693] 693 27 -COV [694-694] 694 27 -COV [695-695] 695 25 -COV [696-696] 696 25 -COV [697-697] 697 32 -COV [698-698] 698 25 -COV [699-699] 699 27 -COV [700-700] 700 27 -COV [701-701] 701 27 -COV [702-702] 702 24 -COV [703-703] 703 29 -COV [704-704] 704 22 -COV [705-705] 705 26 -COV [706-706] 706 16 -COV [707-707] 707 23 -COV [708-708] 708 23 -COV [709-709] 709 23 -COV [710-710] 710 28 -COV [711-711] 711 26 -COV [712-712] 712 28 -COV [713-713] 713 39 -COV [714-714] 714 22 -COV [715-715] 715 29 -COV [716-716] 716 16 -COV [717-717] 717 18 -COV [718-718] 718 26 -COV [719-719] 719 22 -COV [720-720] 720 21 -COV [721-721] 721 20 -COV [722-722] 722 30 -COV [723-723] 723 26 -COV [724-724] 724 25 -COV [725-725] 725 22 -COV [726-726] 726 24 -COV [727-727] 727 30 -COV [728-728] 728 21 -COV [729-729] 729 26 -COV [730-730] 730 20 -COV [731-731] 731 30 -COV [732-732] 732 27 -COV [733-733] 733 28 -COV [734-734] 734 25 -COV [735-735] 735 22 -COV [736-736] 736 32 -COV [737-737] 737 36 -COV [738-738] 738 32 -COV [739-739] 739 26 -COV [740-740] 740 22 -COV [741-741] 741 21 -COV [742-742] 742 18 -COV [743-743] 743 28 -COV [744-744] 744 28 -COV [745-745] 745 21 -COV [746-746] 746 16 -COV [747-747] 747 30 -COV [748-748] 748 28 -COV [749-749] 749 22 -COV [750-750] 750 21 -COV [751-751] 751 30 -COV [752-752] 752 12 -COV [753-753] 753 24 -COV [754-754] 754 28 -COV [755-755] 755 19 -COV [756-756] 756 36 -COV [757-757] 757 27 -COV [758-758] 758 26 -COV [759-759] 759 29 -COV [760-760] 760 26 -COV [761-761] 761 24 -COV [762-762] 762 21 -COV [763-763] 763 18 -COV [764-764] 764 19 -COV [765-765] 765 26 -COV [766-766] 766 21 -COV [767-767] 767 17 -COV [768-768] 768 26 -COV [769-769] 769 18 -COV [770-770] 770 14 -COV [771-771] 771 18 -COV [772-772] 772 20 -COV [773-773] 773 21 -COV [774-774] 774 20 -COV [775-775] 775 16 -COV [776-776] 776 17 -COV [777-777] 777 24 -COV [778-778] 778 12 -COV [779-779] 779 19 -COV [780-780] 780 14 -COV [781-781] 781 25 -COV [782-782] 782 21 -COV [783-783] 783 27 -COV [784-784] 784 21 -COV [785-785] 785 19 -COV [786-786] 786 23 -COV [787-787] 787 19 -COV [788-788] 788 24 -COV [789-789] 789 15 -COV [790-790] 790 17 -COV [791-791] 791 16 -COV [792-792] 792 23 -COV [793-793] 793 19 -COV [794-794] 794 17 -COV [795-795] 795 13 -COV [796-796] 796 18 -COV [797-797] 797 23 -COV [798-798] 798 22 -COV [799-799] 799 22 -COV [800-800] 800 13 -COV [801-801] 801 13 -COV [802-802] 802 13 -COV [803-803] 803 13 -COV [804-804] 804 23 -COV [805-805] 805 20 -COV [806-806] 806 17 -COV [807-807] 807 16 -COV [808-808] 808 11 -COV [809-809] 809 23 -COV [810-810] 810 17 -COV [811-811] 811 10 -COV [812-812] 812 17 -COV [813-813] 813 12 -COV [814-814] 814 14 -COV [815-815] 815 14 -COV [816-816] 816 14 -COV [817-817] 817 24 -COV [818-818] 818 17 -COV [819-819] 819 21 -COV [820-820] 820 21 -COV [821-821] 821 10 -COV [822-822] 822 20 -COV [823-823] 823 19 -COV [824-824] 824 17 -COV [825-825] 825 18 -COV [826-826] 826 21 -COV [827-827] 827 24 -COV [828-828] 828 14 -COV [829-829] 829 21 -COV [830-830] 830 25 -COV [831-831] 831 18 -COV [832-832] 832 23 -COV [833-833] 833 19 -COV [834-834] 834 17 -COV [835-835] 835 19 -COV [836-836] 836 19 -COV [837-837] 837 20 -COV [838-838] 838 24 -COV [839-839] 839 20 -COV [840-840] 840 16 -COV [841-841] 841 21 -COV [842-842] 842 20 -COV [843-843] 843 17 -COV [844-844] 844 18 -COV [845-845] 845 14 -COV [846-846] 846 16 -COV [847-847] 847 11 -COV [848-848] 848 17 -COV [849-849] 849 12 -COV [850-850] 850 18 -COV [851-851] 851 22 -COV [852-852] 852 15 -COV [853-853] 853 17 -COV [854-854] 854 16 -COV [855-855] 855 18 -COV [856-856] 856 11 -COV [857-857] 857 7 -COV [858-858] 858 6 -COV [859-859] 859 23 -COV [860-860] 860 14 -COV [861-861] 861 10 -COV [862-862] 862 19 -COV [863-863] 863 8 -COV [864-864] 864 14 -COV [865-865] 865 10 -COV [866-866] 866 9 -COV [867-867] 867 11 -COV [868-868] 868 16 -COV [869-869] 869 8 -COV [870-870] 870 9 -COV [871-871] 871 9 -COV [872-872] 872 13 -COV [873-873] 873 6 -COV [874-874] 874 15 -COV [875-875] 875 5 -COV [876-876] 876 6 -COV [877-877] 877 8 -COV [878-878] 878 8 -COV [879-879] 879 14 -COV [880-880] 880 8 -COV [881-881] 881 20 -COV [882-882] 882 15 -COV [883-883] 883 12 -COV [884-884] 884 14 -COV [885-885] 885 14 -COV [886-886] 886 12 -COV [887-887] 887 11 -COV [888-888] 888 13 -COV [889-889] 889 11 -COV [890-890] 890 6 -COV [891-891] 891 11 -COV [892-892] 892 9 -COV [893-893] 893 9 -COV [894-894] 894 12 -COV [895-895] 895 16 -COV [896-896] 896 10 -COV [897-897] 897 8 -COV [898-898] 898 8 -COV [899-899] 899 11 -COV [900-900] 900 7 -COV [901-901] 901 15 -COV [902-902] 902 13 -COV [903-903] 903 17 -COV [904-904] 904 9 -COV [905-905] 905 8 -COV [906-906] 906 13 -COV [907-907] 907 10 -COV [908-908] 908 8 -COV [909-909] 909 13 -COV [910-910] 910 7 -COV [911-911] 911 9 -COV [912-912] 912 8 -COV [913-913] 913 9 -COV [914-914] 914 8 -COV [915-915] 915 9 -COV [916-916] 916 6 -COV [917-917] 917 9 -COV [918-918] 918 7 -COV [919-919] 919 9 -COV [920-920] 920 8 -COV [921-921] 921 13 -COV [922-922] 922 5 -COV [923-923] 923 5 -COV [924-924] 924 5 -COV [925-925] 925 7 -COV [926-926] 926 10 -COV [927-927] 927 6 -COV [928-928] 928 21 -COV [929-929] 929 10 -COV [930-930] 930 10 -COV [931-931] 931 7 -COV [932-932] 932 12 -COV [933-933] 933 14 -COV [934-934] 934 14 -COV [935-935] 935 7 -COV [936-936] 936 12 -COV [937-937] 937 13 -COV [938-938] 938 10 -COV [939-939] 939 12 -COV [940-940] 940 18 -COV [941-941] 941 11 -COV [942-942] 942 10 -COV [943-943] 943 6 -COV [944-944] 944 12 -COV [945-945] 945 12 -COV [946-946] 946 8 -COV [947-947] 947 12 -COV [948-948] 948 10 -COV [949-949] 949 5 -COV [950-950] 950 9 -COV [951-951] 951 16 -COV [952-952] 952 13 -COV [953-953] 953 15 -COV [954-954] 954 15 -COV [955-955] 955 8 -COV [956-956] 956 15 -COV [957-957] 957 18 -COV [958-958] 958 9 -COV [959-959] 959 21 -COV [960-960] 960 14 -COV [961-961] 961 17 -COV [962-962] 962 9 -COV [963-963] 963 14 -COV [964-964] 964 6 -COV [965-965] 965 5 -COV [966-966] 966 13 -COV [967-967] 967 12 -COV [968-968] 968 13 -COV [969-969] 969 10 -COV [970-970] 970 13 -COV [971-971] 971 8 -COV [972-972] 972 13 -COV [973-973] 973 12 -COV [974-974] 974 14 -COV [975-975] 975 9 -COV [976-976] 976 12 -COV [977-977] 977 4 -COV [978-978] 978 14 -COV [979-979] 979 6 -COV [980-980] 980 12 -COV [981-981] 981 5 -COV [982-982] 982 8 -COV [983-983] 983 4 -COV [984-984] 984 9 -COV [985-985] 985 9 -COV [986-986] 986 10 -COV [987-987] 987 8 -COV [988-988] 988 4 -COV [989-989] 989 6 -COV [990-990] 990 3 -COV [991-991] 991 5 -COV [992-992] 992 2 -COV [993-993] 993 6 -COV [994-994] 994 6 -COV [995-995] 995 7 -COV [996-996] 996 14 -COV [997-997] 997 12 -COV [998-998] 998 7 -COV [999-999] 999 8 -COV [1000-1000] 1000 8 -COV [1000<] 1000 5025 -# GC-depth. Use `grep ^GCD | cut -f 2-` to extract this part. The columns are: GC%, unique sequence percentiles, 10th, 25th, 50th, 75th and 90th depth percentile -GCD 0.0 0.554 0.000 0.000 0.000 0.000 0.000 -GCD 0.5 0.831 0.525 0.525 0.525 0.525 0.525 -GCD 36.0 1.385 0.954 0.954 0.954 1.490 1.490 -GCD 37.0 2.216 2.495 2.495 4.146 6.560 6.560 -GCD 38.0 5.263 0.247 0.454 3.520 5.868 9.883 -GCD 39.0 9.141 0.177 0.303 2.161 8.777 12.812 -GCD 40.0 12.188 0.020 1.192 9.060 22.018 27.371 -GCD 41.0 16.343 0.035 0.550 2.702 11.469 12.908 -GCD 42.0 21.884 0.010 0.172 2.121 5.621 17.094 -GCD 43.0 28.255 0.010 0.328 1.449 4.277 10.166 -GCD 44.0 36.288 0.162 0.394 5.484 15.145 50.490 -GCD 45.0 42.105 0.020 0.131 1.252 7.009 17.811 -GCD 46.0 49.861 0.015 0.121 0.636 1.939 37.506 -GCD 47.0 56.510 0.030 0.141 1.015 4.500 6.338 -GCD 48.0 64.543 0.010 0.091 2.565 7.287 21.872 -GCD 49.0 68.975 0.010 0.333 0.672 10.751 27.129 -GCD 50.0 73.407 0.010 0.121 1.358 3.883 6.615 -GCD 51.0 77.008 0.121 0.576 1.576 4.363 13.923 -GCD 52.0 81.994 0.010 0.086 1.560 4.414 109.383 -GCD 53.0 84.488 0.040 0.071 0.500 3.025 31.234 -GCD 54.0 86.704 0.020 0.313 9.332 39.683 203.959 -GCD 55.0 89.197 0.005 0.051 1.268 5.045 23.578 -GCD 56.0 91.136 0.071 0.192 1.566 9.994 33.315 -GCD 57.0 94.460 0.040 0.348 1.167 5.050 11.660 -GCD 58.0 95.845 0.131 0.131 1.899 2.742 4.929 -GCD 59.0 96.399 3.313 3.313 3.313 3.666 3.666 -GCD 60.0 97.507 0.995 0.995 5.176 6.954 33.234 -GCD 61.0 98.338 1.591 1.591 1.788 4.848 4.848 -GCD 62.0 98.892 3.171 3.171 3.171 7.343 7.343 -GCD 63.0 99.446 0.530 0.530 0.530 6.403 6.403 -GCD 64.0 100.000 1.025 1.025 1.025 4.585 4.585 diff -r 66f1187ed363 -r 4612d775965f test-data/tophat_data.txt --- a/test-data/tophat_data.txt Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,14 +0,0 @@ -Left reads: - Input : 316390 - Mapped : 314921 (99.5% of input) - of these: 5715 ( 1.8%) have multiple alignments (0 have >20) -Right reads: - Input : 316390 - Mapped : 314789 (99.5% of input) - of these: 5707 ( 1.8%) have multiple alignments (0 have >20) -99.5% overall read mapping rate. - -Aligned pairs: 313405 - of these: 5638 ( 1.8%) have multiple alignments - 34 ( 0.0%) are discordant alignments -99.0% concordant pair alignment rate. diff -r 66f1187ed363 -r 4612d775965f tool_dependencies.xml --- a/tool_dependencies.xml Tue Oct 04 04:02:10 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,9 +0,0 @@ - - - - - - - - -