# 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
-
-
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-
-
- 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;
-
-
-
-
-
-
- FastQC (RawData file)
- Cutadapt (Report file)
- Tophat2 (align_summary file)
- FeatureCounts (Summary file)
- Samtools Stats (Stats file)
- Picard (MarkDuplicates metrics file, CollectGTBiasMetrics Summary data file, CollectInsertSizeMetrics file)
- Bismark (Report file)
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-**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
-
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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;
+
+
+
+
+
+ FastQC
+ Cutadapt/Trim Galore!
+ Tophat2
+ FeatureCounts (Summary file)
+ Samtools (Stats, Flagstat)
+ Samtools (Idxstats)
+ Picard
+ Bismark
+ Bowtie2
+ HTSeq-Count
+ RNA STAR (log)
+ RNA STAR (reads per gene)
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+ saveLog is True
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+
+**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
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diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/MarkDuplicates_data.txt
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/MarkDuplicates_data.txt Thu May 25 17:49:13 2017 -0400
@@ -0,0 +1,112 @@
+## 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
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+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
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+
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
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+>>END_MODULE
+>>Per sequence quality scores warn
+#Quality Count
+2 91.0
+3 0.0
+4 0.0
+5 0.0
+6 1.0
+7 4.0
+8 1.0
+9 4.0
+10 19.0
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+22 2846.0
+23 4426.0
+24 7254.0
+25 15604.0
+26 147526.0
+27 84255.0
+>>END_MODULE
+>>Per base sequence content fail
+#Base G A T C
+1 24.561095571182623 12.690042536664064 10.404490437653351 52.344371454499964
+2 18.339437518900574 21.261606352833127 40.84540170021169 19.55355442805461
+3 24.3623968130108 22.75060764115756 24.606199993279546 28.28079555255209
+4 24.70272429615194 30.13376939992309 20.251335640603475 24.912170663321497
+5 26.912278605776415 30.437785609748815 22.448552910606015 20.201382873868763
+6 21.71820690015643 32.44626636649754 23.826857669806493 22.008669063539532
+7 20.05719640543739 18.11617739845958 38.19876124234177 23.62786495376126
+8 20.67097506430862 21.73762082367304 30.101661757184083 27.489742354834252
+9 21.03797288770912 20.6063864341476 32.13340352213374 26.22223715600954
+10-11 24.92953119108154 29.215714824397327 22.228755754174927 23.6259982303462
+12-13 23.055154210021318 24.05403790941911 27.701242117760376 25.189565762799187
+14-15 23.740988392713806 25.209166358657303 26.766200359157583 24.283644889471308
+16-17 24.568320210267725 25.528936079656823 25.649339739928095 24.253403970147357
+18-19 24.04209087956274 25.55880365429776 25.791957408838563 24.607148057300943
+20-21 23.93419426617236 25.75256954478083 26.05945887421644 24.253777314830373
+22-23 24.163987918566058 25.89910733286292 25.740809187265963 24.196095561305064
+24-25 23.988702589892068 25.91833458403802 25.975642992880317 24.117319833189597
+26-27 23.946327968370237 26.093246568029 25.94857550336197 24.01184996023879
+28-29 23.988889262233574 25.78393049815381 25.775716915127557 24.451463324485065
+30-31 23.98944927925809 25.67715391881247 26.00980403137589 24.32359277055356
+32-33 23.93998110875904 26.05105861884868 26.071779248755828 23.93718102363645
+34-35 24.114706420408513 25.96780275453707 25.658300012320375 24.25919081273404
+36-37 23.890886282943 25.775530242786047 25.919454618087055 24.414128856183893
+38-39 23.981422368573337 25.796064200351694 26.301572901149527 23.920940529925446
+40-41 23.981422368573337 25.791397391814048 26.08111286583112 24.146067373781495
+42-43 23.894806402114625 25.829665221822744 26.05553875504482 24.219989621017813
+44-45 23.729228035198936 26.04489843157899 26.20394326654197 24.02193026668011
+46-47 24.046010998734364 25.874839928467157 25.88977371578763 24.189375357010853
+48-49 24.049744445564478 25.742302565998003 25.94857550336197 24.259377485075547
+50-51 23.948381364126803 26.056285444410843 26.02343111230581 23.97190207915654
+52-53 23.98758255584303 26.181169240878255 25.754062923512876 24.07718527976584
+54-55 24.002329670821993 25.763956557612683 26.049005223092113 24.184708548473207
+56-57 24.145694029098486 25.93812185223764 26.200956509077876 23.715227609585998
+58-59 24.10443944162569 26.029031282550992 25.90638755418165 23.96014172164167
+60-61 23.907500121337023 25.956415741705214 26.048818550750607 24.087265586207156
+62-63 23.989262606916583 25.956975758729733 26.25397145406554 23.799790180288145
+64-65 24.19852230174464 25.83377201333587 25.889960388129136 24.077745296790358
+66-67 23.939421091734523 25.92654816706428 26.010737393083417 24.123293348117784
+68-69 23.959021687592635 25.83750546016599 26.237170943330014 23.966301908911365
+70-71 23.97992898984129 26.19087620263656 25.813424728111734 24.015770079410416
+72-73 23.799976852629655 26.096606670176108 26.129087657598127 23.974328819596117
+74-75 24.05739801156622 26.019324320792688 26.18191593024428 23.741361737396815
+76-77 24.116013126799054 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 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
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+2205 36-37 -4.543079157137697E-4
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+2207 100-101 -0.3131536080014037
+2208 1 0.04413199397088263
+2208 2 -0.04599013682685893
+2208 3 0.10622628629305098
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+2208 7 0.003987072510646783
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+2208 20-21 -0.08225126453373122
+2208 22-23 -0.10489311337465779
+2208 24-25 -0.02195371696609527
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+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
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+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 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 @@
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70.7%
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176bp
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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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Plot shows the number of reads at a given insert size. Reads with different orientations are summed.
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Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.
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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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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.
+
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+
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.
+
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Sequence Quality Histograms
+
+
The mean quality value across each base position in the read. See the FastQC help .
+
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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 .
+
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+ Click a sample row to see a line plot for that dataset.
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Rollover for sample name
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Export Plot
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+ Position:
-
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Per Sequence GC Content
+
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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 .
+Percentages
+Counts
+
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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 .
+
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+
+
+
Sequence Length Distribution
+
+
All samples have sequences of a single length (101bp).
+
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Sequence Duplication Levels
+
+
The relative level of duplication found for every sequence. See the FastQC help .
+
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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%
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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
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diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_bowtie2SE.html
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/report_bowtie2SE.html Thu May 25 17:49:13 2017 -0400
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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
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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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+
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+
+
+
+
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+
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(start of string)
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(end of string)
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(character choice)
+ \d
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)
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+samp_2
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+samp_3
+samp_3_edited
+prepended_samp_1
+tmp_samp_1_edited
+tmpp_samp_1_edited
+tmppp_samp_1_edited
+#samp_1_edited.tmp
+samp_11
+samp_11111
+
+
See regex101.com for a more heavy duty testing suite.
+
+
+
+
+
+
+
+
+
+
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 @@
+
+
+
+
+
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+
+
+MultiQC Report
+
+
+
+
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+
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+ A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.
+
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Loading report..
+
+
+
Report generated on 2017-05-24, 21:41 based on data in:
+ /tmp/tmpWNBij6/job_working_directory/000/2/working/multiqc_WDir
+
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General Statistics
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+
+ Show All
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+
+
+
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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 .
+
+
+
+
+
+
+
+
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 .
+
+
+
+
+
+
+
+
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
+
Export Plot
+
+ 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 .
+Percentages
+Counts
+
+
+
+
+
+
+
+
+
+
+
+
Per Base N Content
+
+
The percentage of base calls at each position for which an N was called. See the FastQC help .
+
+
+
+
+
+
+
+
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 .
+
+
+
+
+
+
+
+
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%
+
+
+
+
+
+
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Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
+
+
+ ^
(start of string)
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(end of string)
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(character choice)
+ \d
(shorthand for [0-9]
)
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)
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(any character)
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(literal full stop)
+ ()
|
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+ +
(prev char 1 or more)
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(prev char 0 or 1)
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(char num times)
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+
+
+
+
+samp_1
+samp_1_edited
+samp_2
+samp_2_edited
+samp_3
+samp_3_edited
+prepended_samp_1
+tmp_samp_1_edited
+tmpp_samp_1_edited
+tmppp_samp_1_edited
+#samp_1_edited.tmp
+samp_11
+samp_11111
+
+
See regex101.com for a more heavy duty testing suite.
+
+
+
+
+
+
+
+
+
+
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 @@
+
+
+
+
+
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+
+
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+
+
+MultiQC Report
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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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, 21:43 based on data in:
+ /tmp/tmpWNBij6/job_working_directory/000/5/working/multiqc_WDir
+
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+
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Showing 2 /2 rows and 3 /5 columns.
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+ 36.3%
48%
101 bp
8%
0.3
36.2%
48%
101 bp
8%
0.3
+
+
+
+
+
+
+
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+
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+
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+
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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 .
+
+
+
+
+
+
+
+
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 .
+
+
+
+
+
+
+
+
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
+
Export Plot
+
+ 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 .
+Percentages
+Counts
+
+
+
+
+
+
+
+
+
+
+
+
Per Base N Content
+
+
The percentage of base calls at each position for which an N was called. See the FastQC help .
+
+
+
+
+
+
+
+
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 .
+
+
+
+
+
+
+
+
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%
+
+
+
+
+
+
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+ Select Column
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+ Please select two table columns.
+
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+
+
+
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
+
+
+ ^
(start of string)
+ $
(end of string)
+ []
(character choice)
+ \d
(shorthand for [0-9]
)
+ \w
(shorthand for [0-9a-zA-Z_]
)
+ .
(any character)
+ \.
(literal full stop)
+ ()
|
(group / separator)
+ *
(prev char 0 or more)
+ +
(prev char 1 or more)
+ ?
(prev char 0 or 1)
+ {}
(char num times)
+ {,}
(count range)
+
+
+
+
+samp_1
+samp_1_edited
+samp_2
+samp_2_edited
+samp_3
+samp_3_edited
+prepended_samp_1
+tmp_samp_1_edited
+tmpp_samp_1_edited
+tmppp_samp_1_edited
+#samp_1_edited.tmp
+samp_11
+samp_11111
+
+
See regex101.com for a more heavy duty testing suite.
+
+
+
+
+
+
+
+
+
+
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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+
+ 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
+
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Showing 6 /6 rows and 2 /2 columns.
+
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+ 70.8%
0.3
69.6%
0.4
71.8%
0.4
72.0%
0.4
71.3%
0.4
70.7%
0.5
+
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+
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+
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+
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+
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.
+
+
+
+
+
+Number of Reads
+Percentages
+
+
+
+
+
+
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+
+
+
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
+
+
+ ^
(start of string)
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(end of string)
+ []
(character choice)
+ \d
(shorthand for [0-9]
)
+ \w
(shorthand for [0-9a-zA-Z_]
)
+ .
(any character)
+ \.
(literal full stop)
+ ()
|
(group / separator)
+ *
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+ +
(prev char 1 or more)
+ ?
(prev char 0 or 1)
+ {}
(char num times)
+ {,}
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+
+
+
+
+samp_1
+samp_1_edited
+samp_2
+samp_2_edited
+samp_3
+samp_3_edited
+prepended_samp_1
+tmp_samp_1_edited
+tmpp_samp_1_edited
+tmppp_samp_1_edited
+#samp_1_edited.tmp
+samp_11
+samp_11111
+
+
See regex101.com for a more heavy duty testing suite.
+
+
+
+
+
+
+
+
+
+
diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_htseq.html
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/report_htseq.html Thu May 25 17:49:13 2017 -0400
@@ -0,0 +1,4656 @@
+
+
+
+
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+
+MultiQC Report
+
+
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+
+
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+
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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
+
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+
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+
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.
+
+
+
+
+
+Number of Reads
+Percentages
+
+
+
+
+
+
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+
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
+
+
+ ^
(start of string)
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(end of string)
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(character choice)
+ \d
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+ \w
(shorthand for [0-9a-zA-Z_]
)
+ .
(any character)
+ \.
(literal full stop)
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|
(group / separator)
+ *
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+ +
(prev char 1 or more)
+ ?
(prev char 0 or 1)
+ {}
(char num times)
+ {,}
(count range)
+
+
+
+
+samp_1
+samp_1_edited
+samp_2
+samp_2_edited
+samp_3
+samp_3_edited
+prepended_samp_1
+tmp_samp_1_edited
+tmpp_samp_1_edited
+tmppp_samp_1_edited
+#samp_1_edited.tmp
+samp_11
+samp_11111
+
+
See regex101.com for a more heavy duty testing suite.
+
+
+
+
+
+
+
+
+
+
diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_picard.html
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/report_picard.html Thu May 25 17:49:13 2017 -0400
@@ -0,0 +1,4826 @@
+
+
+
+
+
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+
+
+
+MultiQC Report
+
+
+
+
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+
+
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+
+
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+
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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/000/21/working/multiqc_WDir
+
+
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+
General Statistics
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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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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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Base Distribution
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Plot shows the distribution of bases by cycle.
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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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RnaSeqMetrics Assignment
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Number of bases in primary alignments that align to regions in the reference genome.
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Gene Coverage
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diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_rnastar_counts.html
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/report_rnastar_counts.html Thu May 25 17:49:13 2017 -0400
@@ -0,0 +1,4586 @@
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STAR is an ultrafast universal RNA-seq aligner.
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Statistics from results generated using --quantMode GeneCounts
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diff -r 66f1187ed363 -r 4612d775965f multiqc/test-data/report_rnastar_log.html
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/multiqc/test-data/report_rnastar_log.html Thu May 25 17:49:13 2017 -0400
@@ -0,0 +1,4658 @@
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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 @@
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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 @@
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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 @@
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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 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 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
+IS 214 166 166 0 0
+IS 215 138 138 0 0
+IS 216 131 131 0 0
+IS 217 94 93 1 0
+IS 218 89 88 1 0
+IS 219 93 92 1 0
+IS 220 82 81 1 0
+IS 221 67 67 0 0
+IS 222 66 66 0 0
+IS 223 59 58 1 0
+IS 224 80 78 2 0
+IS 225 69 69 0 0
+IS 226 70 70 0 0
+IS 227 72 72 0 0
+IS 228 75 74 1 0
+IS 229 84 83 1 0
+IS 230 77 77 0 0
+IS 231 88 87 1 0
+IS 232 103 103 0 0
+IS 233 113 112 1 0
+IS 234 81 80 1 0
+IS 235 97 97 0 0
+IS 236 117 116 1 0
+IS 237 106 105 1 0
+IS 238 114 113 1 0
+IS 239 112 111 1 0
+IS 240 143 142 1 0
+IS 241 149 145 4 0
+IS 242 140 138 2 0
+IS 243 136 135 1 0
+IS 244 151 149 2 0
+IS 245 142 140 2 0
+IS 246 145 143 2 0
+IS 247 154 152 2 0
+IS 248 168 166 2 0
+IS 249 162 161 1 0
+IS 250 149 147 2 0
+IS 251 178 177 1 0
+IS 252 156 155 1 0
+IS 253 186 183 3 0
+IS 254 191 189 2 0
+IS 255 193 190 3 0
+IS 256 196 192 4 0
+IS 257 190 185 5 0
+IS 258 193 191 2 0
+IS 259 191 188 3 0
+IS 260 201 201 0 0
+IS 261 205 204 1 0
+IS 262 206 201 5 0
+IS 263 190 185 5 0
+IS 264 212 211 1 0
+IS 265 202 196 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
+IS 316 90 89 1 0
+IS 317 85 85 0 0
+IS 318 95 95 0 0
+IS 319 80 80 0 0
+IS 320 88 88 0 0
+IS 321 93 93 0 0
+IS 322 97 97 0 0
+IS 323 87 87 0 0
+IS 324 97 97 0 0
+IS 325 89 89 0 0
+IS 326 105 105 0 0
+IS 327 101 101 0 0
+IS 328 96 96 0 0
+IS 329 242 242 0 0
+IS 330 105 105 0 0
+IS 331 80 80 0 0
+IS 332 94 94 0 0
+IS 333 84 84 0 0
+IS 334 116 116 0 0
+IS 335 108 108 0 0
+IS 336 100 100 0 0
+IS 337 102 102 0 0
+IS 338 113 112 1 0
+IS 339 96 96 0 0
+IS 340 131 131 0 0
+IS 341 105 105 0 0
+IS 342 111 111 0 0
+IS 343 107 107 0 0
+IS 344 110 110 0 0
+IS 345 117 117 0 0
+IS 346 102 102 0 0
+IS 347 114 114 0 0
+IS 348 99 99 0 0
+IS 349 118 118 0 0
+IS 350 102 102 0 0
+IS 351 104 104 0 0
+IS 352 117 117 0 0
+IS 353 124 124 0 0
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+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
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-110 349
-111 368
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-664 102
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-731 153
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-733 164
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-736 162
-737 158
-738 161
-739 171
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-741 168
-742 161
-743 198
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-746 161
-747 178
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-751 189
-752 187
-753 166
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-755 170
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-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
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-774 170
-775 167
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-784 161
-785 160
-786 177
-787 161
-788 174
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-792 162
-793 170
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-795 157
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-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
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-815 94
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-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
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-26.0 24.737218
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-29.0 27.428709
-30.0 28.318684
-31.0 29.20509
-32.0 30.08794
-33.0 30.967248
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-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 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 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
-1101 38-39 -0.01952943529413176
-1101 40-41 0.007678874836642535
-1101 42-43 -0.008449851412301257
-1101 44-45 0.039802961768131695
-1101 46-47 0.023590251422636044
-1101 48-49 0.033496458023201114
-1101 50-51 -0.016386701090358002
-1101 52-53 0.025786144269876132
-1101 54-55 0.041314167697176885
-1101 56-57 0.017577003151171056
-1101 58-59 0.0409837724351334
-1101 60-61 -0.01616144950176235
-1101 62-63 -0.15311962828100434
-1101 64-65 -0.1501215067991879
-1101 66-67 -0.10208605868649911
-1101 68-69 0.042677013693392496
-1101 70-71 -0.05781314700952933
-1101 72-73 0.069481248502548
-1101 74-75 -0.0038247930645347594
-1101 76-77 -0.14175773424430815
-1101 78-79 -0.08483253524869738
-1101 80-81 -0.13526874743146777
-1101 82-83 -0.16462942511470757
-1101 84-85 -0.008367476155605402
-1101 86-87 0.07721301530740377
-1101 88-89 0.039720943130355124
-1101 90-91 0.0362011509996627
-1101 92-93 0.09827090498435709
-1101 94-95 0.07420306975118152
-1101 96-97 0.1786375834862497
-1101 98-99 0.29551833742201694
-1101 100-101 0.3437055197576768
-1102 1 0.017326703764346973
-1102 2 0.13839251773801564
-1102 3 0.026409722816328696
-1102 4 0.035741352322840925
-1102 5 0.0023402227450084467
-1102 6 0.14763639069627388
-1102 7 0.04905752932364038
-1102 8 0.0695494280377531
-1102 9 0.08835928980633767
-1102 10-11 -0.0027737698628946816
-1102 12-13 0.034666655904352695
-1102 14-15 0.033050188548592985
-1102 16-17 0.07202134392365522
-1102 18-19 0.034278261987640946
-1102 20-21 0.05398641128767423
-1102 22-23 0.06921181495124884
-1102 24-25 0.08067900604781997
-1102 26-27 -0.017741041967884286
-1102 28-29 0.06718267715258719
-1102 30-31 0.061640783982721103
-1102 32-33 0.007790357064276776
-1102 34-35 0.07134783441875214
-1102 36-37 0.05421141382922201
-1102 38-39 0.071209052719162
-1102 40-41 0.01045673503127631
-1102 42-43 0.04671607844765191
-1102 44-45 0.019738577718761974
-1102 46-47 0.010641120755654043
-1102 48-49 0.012718137942499652
-1102 50-51 0.050487779683432876
-1102 52-53 0.0492143723733669
-1102 54-55 0.024116654048945918
-1102 56-57 0.0937159629185551
-1102 58-59 0.041755194224830205
-1102 60-61 0.024132358354872707
-1102 62-63 0.054253754700241075
-1102 64-65 -0.0526961270223083
-1102 66-67 0.03524185491426124
-1102 68-69 -0.03408316314022031
-1102 70-71 -0.002916102148386557
-1102 72-73 0.06648086279165355
-1102 74-75 -0.01905851903177691
-1102 76-77 -0.07965271703567112
-1102 78-79 -0.008930936031987358
-1102 80-81 2.6766454123361427E-5
-1102 82-83 0.029320106098204235
-1102 84-85 0.003107422966163398
-1102 86-87 -0.017180454310445015
-1102 88-89 0.0031321851194370254
-1102 90-91 -0.10882799984296554
-1102 92-93 -0.031939900854709435
-1102 94-95 0.11724506773361654
-1102 96-97 0.03660696397521335
-1102 98-99 -0.02817655042512257
-1102 100-101 0.15842335740306268
-1103 1 0.024960104530137528
-1103 2 0.08766067725194304
-1103 3 0.07296261762869705
-1103 4 0.06324049483398753
-1103 5 0.07631526106951014
-1103 6 0.0966385536681571
-1103 7 0.07774665636499023
-1103 8 -0.009255547497563299
-1103 9 0.026910588639452726
-1103 10-11 0.028013579901557506
-1103 12-13 -0.031132488706766992
-1103 14-15 0.05921059846326315
-1103 16-17 0.06106823631405334
-1103 18-19 0.011463808575534529
-1103 20-21 -0.028077021887696674
-1103 22-23 0.053414770312830484
-1103 24-25 0.10643692119492343
-1103 26-27 0.03616525725022868
-1103 28-29 0.013817120904818125
-1103 30-31 0.03836083662204004
-1103 32-33 0.03849545789796949
-1103 34-35 0.09815573591603055
-1103 36-37 0.07768385868743621
-1103 38-39 -0.0028114850138507563
-1103 40-41 -0.03808413393742427
-1103 42-43 0.06455884649167132
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-2204 100-101 0.24258216791867682
-2205 1 -0.005504871671867306
-2205 2 0.06483113703155752
-2205 3 0.01774005027978376
-2205 4 0.037115847670261104
-2205 5 0.011573495884263707
-2205 6 -0.02040860533551836
-2205 7 0.050098465130680836
-2205 8 0.08188250449190093
-2205 9 -0.0035248615146734608
-2205 10-11 -0.02812429493161872
-2205 12-13 0.04349016840133757
-2205 14-15 0.047465136616821724
-2205 16-17 0.019559041902745378
-2205 18-19 0.05177719804773062
-2205 20-21 0.02948991366284659
-2205 22-23 -0.03241745087269976
-2205 24-25 0.004380136699641213
-2205 26-27 0.033888798958720656
-2205 28-29 0.028532903167928225
-2205 30-31 0.02392555181378242
-2205 32-33 5.958228399194354E-4
-2205 34-35 0.004342623988687677
-2205 36-37 0.04675089462654469
-2205 38-39 -0.05460903080874857
-2205 40-41 0.009687535229112143
-2205 42-43 0.00882400221204449
-2205 44-45 0.012157286958363045
-2205 46-47 0.002780905207178108
-2205 48-49 0.07939841537201886
-2205 50-51 0.03963990583795507
-2205 52-53 0.036905737782092274
-2205 54-55 -0.008251561177473832
-2205 56-57 -0.0012737427439049043
-2205 58-59 0.1454591428796661
-2205 60-61 0.06973224793516408
-2205 62-63 0.028100961426641646
-2205 64-65 0.10849508310870348
-2205 66-67 0.015780381041174962
-2205 68-69 0.06221921433416
-2205 70-71 0.06204318058357927
-2205 72-73 0.0769089116983821
-2205 74-75 0.04585044221780521
-2205 76-77 0.08003028638044185
-2205 78-79 0.07613249779094744
-2205 80-81 -0.028390493526782024
-2205 82-83 0.010149059066311139
-2205 84-85 0.08968769004383503
-2205 86-87 0.057454930605761234
-2205 88-89 0.08134902182478854
-2205 90-91 0.09468070146021645
-2205 92-93 0.16679688616177302
-2205 94-95 0.27378944840556585
-2205 96-97 0.4113668586164074
-2205 98-99 0.3839463260083207
-2205 100-101 0.5346972097857119
-2206 1 -0.050289510248127556
-2206 2 -0.0493209063285569
-2206 3 -0.06986928912240487
-2206 4 -0.09036426024217903
-2206 5 -0.15858983632701396
-2206 6 -0.06481759933983966
-2206 7 -0.12475676535409264
-2206 8 0.01584101771995705
-2206 9 -0.014233171065313854
-2206 10-11 -0.0785228684579451
-2206 12-13 -0.09961882706653924
-2206 14-15 -0.09724583659532726
-2206 16-17 -0.16585631366679365
-2206 18-19 -0.08808149617271255
-2206 20-21 -0.14650932529100658
-2206 22-23 -0.1047644001021375
-2206 24-25 -0.13593286792029602
-2206 26-27 -0.05297534942576121
-2206 28-29 -0.09552127746344752
-2206 30-31 -0.0186052193308619
-2206 32-33 -0.04432053526156565
-2206 34-35 -0.08309962675649984
-2206 36-37 -0.13711919577207965
-2206 38-39 -0.03681713790160046
-2206 40-41 -0.16257904069743745
-2206 42-43 -0.09152127369157625
-2206 44-45 -0.03444764227898389
-2206 46-47 -0.09000757274931814
-2206 48-49 -0.059398595082605254
-2206 50-51 -0.031230687046264194
-2206 52-53 -0.08683560897687315
-2206 54-55 -0.03273980642947194
-2206 56-57 -0.1225532759689365
-2206 58-59 -0.0354533563275794
-2206 60-61 -0.045639420658513785
-2206 62-63 4.947442650511391E-4
-2206 64-65 0.036486579881575665
-2206 66-67 0.00531477691201232
-2206 68-69 -0.02092568690058627
-2206 70-71 0.05680793926853411
-2206 72-73 0.058480984231934485
-2206 74-75 -0.007372783349442358
-2206 76-77 0.04604664887257215
-2206 78-79 -0.004259099479039463
-2206 80-81 -0.009752790520163757
-2206 82-83 0.07399278116738373
-2206 84-85 -0.05338471666702915
-2206 86-87 -0.04659068825647594
-2206 88-89 0.030613831733997898
-2206 90-91 0.043455222025535534
-2206 92-93 -0.13156430341189562
-2206 94-95 -0.07160902755074261
-2206 96-97 -0.16631107250891475
-2206 98-99 -0.27200044466798445
-2206 100-101 -0.4912228754904824
-2207 1 -0.04334101778132293
-2207 2 -0.18217312599580637
-2207 3 -0.08767740869035734
-2207 4 -0.062043401771372686
-2207 5 -0.04874786714642099
-2207 6 -0.06925085435511491
-2207 7 -0.1663106337535325
-2207 8 -0.13569667448411948
-2207 9 0.01220423945600757
-2207 10-11 -0.033569257304119304
-2207 12-13 -0.022327725881279292
-2207 14-15 -0.0698321324850042
-2207 16-17 -0.06805529875060401
-2207 18-19 -0.06982873984200211
-2207 20-21 -0.05114010392984625
-2207 22-23 -0.0240395825760622
-2207 24-25 0.009494346948930144
-2207 26-27 -0.08921026545140265
-2207 28-29 -0.06835850107044195
-2207 30-31 -0.08479112994814386
-2207 32-33 -0.041761787778288095
-2207 34-35 -0.07506159541259194
-2207 36-37 -0.014556204570641995
-2207 38-39 -0.02692069177714984
-2207 40-41 -9.279482380222248E-4
-2207 42-43 -0.062360612005317506
-2207 44-45 -0.055384311937707764
-2207 46-47 -0.049846025365699376
-2207 48-49 -0.036100463153037055
-2207 50-51 -0.09234738095140571
-2207 52-53 -0.01648346381310617
-2207 54-55 -0.048645405157309085
-2207 56-57 -0.06858832002135173
-2207 58-59 0.001033679471046156
-2207 60-61 -0.05119499608165867
-2207 62-63 -0.048648942548545904
-2207 64-65 -0.11432574645081672
-2207 66-67 -0.12545551753765594
-2207 68-69 -0.14517007261642334
-2207 70-71 -0.11195555331152107
-2207 72-73 -0.0925316074520488
-2207 74-75 -0.11049573077859876
-2207 76-77 -0.20276159347711342
-2207 78-79 -0.19039799542092695
-2207 80-81 -0.1657267178786732
-2207 82-83 -0.1398333956597675
-2207 84-85 -0.1694980906971466
-2207 86-87 -0.16396227704018784
-2207 88-89 -0.15996606758497833
-2207 90-91 0.03965137240097505
-2207 92-93 0.06471362198210784
-2207 94-95 -0.0052651695579477575
-2207 96-97 -0.02447671341168345
-2207 98-99 -0.05292803086254949
-2207 100-101 -0.317504603542055
-2208 1 0.028306679484682462
-2208 2 0.05956479768100209
-2208 3 0.07532731887178556
-2208 4 -0.02467557745944049
-2208 5 -0.07450027635416845
-2208 6 -0.008436489536933323
-2208 7 -0.02119498434333522
-2208 8 -0.03821155902597795
-2208 9 -0.06269398885049782
-2208 10-11 -0.05654665447778129
-2208 12-13 -0.05989000824499513
-2208 14-15 -0.042708422097859966
-2208 16-17 -0.03322339870416613
-2208 18-19 -0.07296078961051222
-2208 20-21 -0.03914427362052919
-2208 22-23 -0.12332051282937684
-2208 24-25 -0.05509122893912277
-2208 26-27 -0.014280158775751062
-2208 28-29 -0.0692564084680285
-2208 30-31 -0.04417808765723663
-2208 32-33 -0.040125896134991734
-2208 34-35 -0.031030129337018764
-2208 36-37 -0.039894194979503084
-2208 38-39 -0.10138856210019753
-2208 40-41 -0.014309424992845265
-2208 42-43 -0.024890245605966754
-2208 44-45 -0.08135774450486366
-2208 46-47 -0.14277890970991436
-2208 48-49 -0.06077166434061354
-2208 50-51 -0.034477514829927
-2208 52-53 0.02111813520589223
-2208 54-55 -0.030096976070211667
-2208 56-57 -0.027114030457372706
-2208 58-59 0.03207683534458283
-2208 60-61 -0.016849241164688777
-2208 62-63 -0.018792724619515866
-2208 64-65 0.006814181525321317
-2208 66-67 -0.027201602076967646
-2208 68-69 0.0011893644965859096
-2208 70-71 -0.021593659438860158
-2208 72-73 -0.0341979110595112
-2208 74-75 0.019465473246153664
-2208 76-77 -0.046394473677136006
-2208 78-79 0.019336702164924446
-2208 80-81 -0.08162520439996968
-2208 82-83 -0.12279121951477734
-2208 84-85 -0.20884928087605914
-2208 86-87 -0.3596062041577319
-2208 88-89 -0.08637910286264372
-2208 90-91 -0.993780535933837
-2208 92-93 -0.26723742984468046
-2208 94-95 -0.4391510258693856
-2208 96-97 -0.5338388591234597
-2208 98-99 -0.5674666924173444
-2208 100-101 -0.677027788148628
->>END_MODULE
->>Per sequence quality scores warn
-#Quality Count
-2 91.0
-3 0.0
-4 0.0
-5 0.0
-6 1.0
-7 4.0
-8 1.0
-9 4.0
-10 19.0
-11 20.0
-12 36.0
-13 57.0
-14 112.0
-15 185.0
-16 315.0
-17 488.0
-18 667.0
-19 878.0
-20 1127.0
-21 1933.0
-22 2846.0
-23 4426.0
-24 7254.0
-25 15604.0
-26 147526.0
-27 84255.0
->>END_MODULE
->>Per base sequence content fail
-#Base G A T C
-1 24.561095571182623 12.690042536664064 10.404490437653351 52.344371454499964
-2 18.339437518900574 21.261606352833127 40.84540170021169 19.55355442805461
-3 24.3623968130108 22.75060764115756 24.606199993279546 28.28079555255209
-4 24.70272429615194 30.13376939992309 20.251335640603475 24.912170663321497
-5 26.912278605776415 30.437785609748815 22.448552910606015 20.201382873868763
-6 21.71820690015643 32.44626636649754 23.826857669806493 22.008669063539532
-7 20.05719640543739 18.11617739845958 38.19876124234177 23.62786495376126
-8 20.67097506430862 21.73762082367304 30.101661757184083 27.489742354834252
-9 21.03797288770912 20.6063864341476 32.13340352213374 26.22223715600954
-10-11 24.92953119108154 29.215714824397327 22.228755754174927 23.6259982303462
-12-13 23.055154210021318 24.05403790941911 27.701242117760376 25.189565762799187
-14-15 23.740988392713806 25.209166358657303 26.766200359157583 24.283644889471308
-16-17 24.568320210267725 25.528936079656823 25.649339739928095 24.253403970147357
-18-19 24.04209087956274 25.55880365429776 25.791957408838563 24.607148057300943
-20-21 23.93419426617236 25.75256954478083 26.05945887421644 24.253777314830373
-22-23 24.163987918566058 25.89910733286292 25.740809187265963 24.196095561305064
-24-25 23.988702589892068 25.91833458403802 25.975642992880317 24.117319833189597
-26-27 23.946327968370237 26.093246568029 25.94857550336197 24.01184996023879
-28-29 23.988889262233574 25.78393049815381 25.775716915127557 24.451463324485065
-30-31 23.98944927925809 25.67715391881247 26.00980403137589 24.32359277055356
-32-33 23.93998110875904 26.05105861884868 26.071779248755828 23.93718102363645
-34-35 24.114706420408513 25.96780275453707 25.658300012320375 24.25919081273404
-36-37 23.890886282943 25.775530242786047 25.919454618087055 24.414128856183893
-38-39 23.981422368573337 25.796064200351694 26.301572901149527 23.920940529925446
-40-41 23.981422368573337 25.791397391814048 26.08111286583112 24.146067373781495
-42-43 23.894806402114625 25.829665221822744 26.05553875504482 24.219989621017813
-44-45 23.729228035198936 26.04489843157899 26.20394326654197 24.02193026668011
-46-47 24.046010998734364 25.874839928467157 25.88977371578763 24.189375357010853
-48-49 24.049744445564478 25.742302565998003 25.94857550336197 24.259377485075547
-50-51 23.948381364126803 26.056285444410843 26.02343111230581 23.97190207915654
-52-53 23.98758255584303 26.181169240878255 25.754062923512876 24.07718527976584
-54-55 24.002329670821993 25.763956557612683 26.049005223092113 24.184708548473207
-56-57 24.145694029098486 25.93812185223764 26.200956509077876 23.715227609585998
-58-59 24.10443944162569 26.029031282550992 25.90638755418165 23.96014172164167
-60-61 23.907500121337023 25.956415741705214 26.048818550750607 24.087265586207156
-62-63 23.989262606916583 25.956975758729733 26.25397145406554 23.799790180288145
-64-65 24.19852230174464 25.83377201333587 25.889960388129136 24.077745296790358
-66-67 23.939421091734523 25.92654816706428 26.010737393083417 24.123293348117784
-68-69 23.959021687592635 25.83750546016599 26.237170943330014 23.966301908911365
-70-71 23.97992898984129 26.19087620263656 25.813424728111734 24.015770079410416
-72-73 23.799976852629655 26.096606670176108 26.129087657598127 23.974328819596117
-74-75 24.05739801156622 26.019324320792688 26.18191593024428 23.741361737396815
-76-77 24.116013126799054 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 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 -0.06299608572604498
-1103 24-25 -0.08417169293003823
-1103 26-27 -0.04350772862757779
-1103 28-29 0.02177990883837566
-1103 30-31 0.06781094518973774
-1103 32-33 0.013662994538655937
-1103 34-35 -0.0994557605492794
-1103 36-37 0.0023683822615581107
-1103 38-39 -0.05731338196795832
-1103 40-41 -0.057647381327658564
-1103 42-43 -0.032320296828523
-1103 44-45 -0.09455561304509175
-1103 46-47 -0.03751262855966431
-1103 48-49 -0.0791999942292243
-1103 50-51 0.03275535547734876
-1103 52-53 -0.01692871328817347
-1103 54-55 -0.03720593021965968
-1103 56-57 -0.04008988072855857
-1103 58-59 0.0057732010636684095
-1103 60-61 -0.042139471441416276
-1103 62-63 -0.05063307178543042
-1103 64-65 -0.05497075592148093
-1103 66-67 -0.10105530763448556
-1103 68-69 -0.18955291414373576
-1103 70-71 -0.264748579346481
-1103 72-73 -0.2096049844475445
-1103 74-75 -0.06053226822360713
-1103 76-77 -0.03143811390859241
-1103 78-79 -0.024993060566711023
-1103 80-81 -0.2590754850708521
-1103 82-83 -0.15213861168819065
-1103 84-85 -0.20318374250994253
-1103 86-87 -0.18613565732989557
-1103 88-89 -0.09352538757615747
-1103 90-91 -0.265343385483348
-1103 92-93 -0.3298985740023639
-1103 94-95 -0.2816768315495537
-1103 96-97 -0.2808918129469795
-1103 98-99 -0.23923642412696466
-1103 100-101 -0.4768822273765032
-1104 1 0.05302527584276007
-1104 2 0.08125278272845193
-1104 3 0.02056353609894046
-1104 4 -0.04722549898740169
-1104 5 0.007003543649805266
-1104 6 0.01756335068998638
-1104 7 -0.0966286837757977
-1104 8 -0.047158782008185796
-1104 9 -0.0732022370529819
-1104 10-11 -0.030071955402249273
-1104 12-13 0.05307256944252714
-1104 14-15 -0.06225501399270428
-1104 16-17 -0.00528618704019479
-1104 18-19 -0.027016965193606524
-1104 20-21 -0.059669980062857064
-1104 22-23 0.02991536747970258
-1104 24-25 -0.0010413339804884458
-1104 26-27 -0.03980649783633439
-1104 28-29 -0.0640033111131828
-1104 30-31 0.012131523215362705
-1104 32-33 0.03574518809275773
-1104 34-35 0.009702443646922632
-1104 36-37 0.04744828319870109
-1104 38-39 0.020329003852562977
-1104 40-41 -0.025698929440252982
-1104 42-43 0.09031852913357241
-1104 44-45 1.579120323214056E-4
-1104 46-47 -0.0071976236712458785
-1104 48-49 -0.02969156128230921
-1104 50-51 0.06718804349408458
-1104 52-53 0.03710959692027416
-1104 54-55 0.03789601118063857
-1104 56-57 0.0724467824066366
-1104 58-59 0.04586930020827751
-1104 60-61 0.06556072375464694
-1104 62-63 0.11500083850613407
-1104 64-65 0.05466947695117241
-1104 66-67 0.12048626435811016
-1104 68-69 0.09058665274583433
-1104 70-71 0.14136824532793923
-1104 72-73 0.12740800477749303
-1104 74-75 0.14069426481494318
-1104 76-77 0.24723577921389506
-1104 78-79 0.23572483853770265
-1104 80-81 0.20312954914807335
-1104 82-83 0.30653381661216983
-1104 84-85 0.2658727417125597
-1104 86-87 0.392778228161891
-1104 88-89 0.5330045850691434
-1104 90-91 0.6952052074357695
-1104 92-93 0.659224270069025
-1104 94-95 0.7095904439834904
-1104 96-97 0.5908425705162017
-1104 98-99 0.5160641880324199
-1104 100-101 0.6854396519562194
-1105 1 -0.028459544703729023
-1105 2 0.11491317573407756
-1105 3 -0.06757608754422151
-1105 4 0.022193662510549217
-1105 5 -0.09717231780715352
-1105 6 -0.0075684653000749336
-1105 7 -0.14541434320128843
-1105 8 -0.013421427626180815
-1105 9 -0.07258811668224752
-1105 10-11 -0.05261928272212657
-1105 12-13 -0.10918400093865088
-1105 14-15 -0.11637064139284092
-1105 16-17 -0.05324254836914477
-1105 18-19 -0.09285820800988986
-1105 20-21 -0.07322460614836501
-1105 22-23 0.021047532151918347
-1105 24-25 -0.07990004388792826
-1105 26-27 -0.08927302984676899
-1105 28-29 -0.08677681064120435
-1105 30-31 -0.09086557267066198
-1105 32-33 0.00996548296477684
-1105 34-35 -0.06826178659010296
-1105 36-37 -0.014692530989833585
-1105 38-39 -0.05678315400307099
-1105 40-41 -0.10301998246035637
-1105 42-43 -0.027298872304818644
-1105 44-45 -0.03805733794293786
-1105 46-47 -0.07843794263688864
-1105 48-49 0.040902439185739325
-1105 50-51 -0.0378917214752974
-1105 52-53 -0.09494513047153674
-1105 54-55 0.010719221475245178
-1105 56-57 -0.03464261687055625
-1105 58-59 -0.05921203540143338
-1105 60-61 0.06217128191310195
-1105 62-63 0.036309401794301976
-1105 64-65 -0.012835859299364927
-1105 66-67 0.11030930031164132
-1105 68-69 -0.011446855295059066
-1105 70-71 0.05196818281645221
-1105 72-73 0.0674440980923805
-1105 74-75 -0.009656066511634975
-1105 76-77 0.05342818579613606
-1105 78-79 -0.18503242999310743
-1105 80-81 -0.2726849456633147
-1105 82-83 -0.32231444853704616
-1105 84-85 -0.2874253673935385
-1105 86-87 -0.34649233505402677
-1105 88-89 -0.30932982624700855
-1105 90-91 -0.21300657142435142
-1105 92-93 -0.16528101749165813
-1105 94-95 -0.08319262074417111
-1105 96-97 -0.018117461399207002
-1105 98-99 0.07278864902792392
-1105 100-101 0.20900161293209152
-1106 1 0.07103620744962669
-1106 2 -0.19972178414192143
-1106 3 -0.10142011547265639
-1106 4 0.037252426024195984
-1106 5 0.034965003540833095
-1106 6 -0.002664732072133802
-1106 7 -0.022748136215817283
-1106 8 -0.04288727247256574
-1106 9 -0.02577911702140412
-1106 10-11 -0.017258867439405634
-1106 12-13 -0.02078997006713479
-1106 14-15 0.027646215452904244
-1106 16-17 -0.01655634525171834
-1106 18-19 -0.034552974091024424
-1106 20-21 0.003783906362532008
-1106 22-23 -0.07673983166052523
-1106 24-25 -0.10074686634167307
-1106 26-27 -0.06543267376202166
-1106 28-29 -0.016784042211213546
-1106 30-31 -0.07523921499945274
-1106 32-33 -0.01794473344977021
-1106 34-35 -0.010676906737874248
-1106 36-37 -0.009232415340772349
-1106 38-39 -0.06977895801070844
-1106 40-41 -0.049019354603117904
-1106 42-43 -0.05060526944134125
-1106 44-45 -0.014737626869386844
-1106 46-47 -0.10499574334266626
-1106 48-49 -0.046569426363113564
-1106 50-51 -0.06151765310052326
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-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
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A modular tool to aggregate results from bioinformatics
- analyses across many samples into a single report.
-
-
-
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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- Copy table
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Showing 13 rows.
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- 70.8%
0.3
69.6%
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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.
-Number of Reads
-Percentages
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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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-Number of Reads
-Percentages
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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.
-Counts
-Percentages
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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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Bismark
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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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-Number of Reads
-Percentages
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Strand Alignment
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-Number of Reads
-Percentages
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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.
-Number of Reads
-Percentages
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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.
-
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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: -
-
%A: -
-
%G: -
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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 .
-Counts
-Percentages
-
-
-
-
-
-
-
-
-
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.
-
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Sequence Duplication Levels
-
The relative level of duplication found for every sequence. See the FastQC help .
-
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-
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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-
-
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-
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
-
-
- ^
(start of string)
- $
(end of string)
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(character choice)
- \d
(shorthand for [0-9]
)
- \w
(shorthand for [0-9a-zA-Z_]
)
- .
(any character)
- \.
(literal full stop)
- ()
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(group / separator)
- *
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(prev char 1 or more)
- ?
(prev char 0 or 1)
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-samp_1
-samp_1_edited
-samp_2
-samp_2_edited
-samp_3
-samp_3_edited
-prepended_samp_1
-tmp_samp_1_edited
-tmpp_samp_1_edited
-tmppp_samp_1_edited
-#samp_1_edited.tmp
-samp_11
-samp_11111
-
-
See regex101.com for a more heavy duty testing suite.
-
-
-
-
-
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-
diff -r 66f1187ed363 -r 4612d775965f test-data/report_bismark.html
--- a/test-data/report_bismark.html Tue Oct 04 04:02:10 2016 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,3437 +0,0 @@
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-MultiQC Report
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-
A modular tool to aggregate results from bioinformatics
- analyses across many samples into a single report.
-
-
-
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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- Copy table
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-
-
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-
-
-
-
-
-
-
-
-
Bismark
-
Bismark is a tool to map bisulfite converted sequence reads and determine cytosine methylation states.
-
-
-
Alignment Rates
-
-Number of Reads
-Percentages
-
-
-
-
-
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Strand Alignment
-
-Number of Reads
-Percentages
-
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-
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
-
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- ^
(start of string)
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(end of string)
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(character choice)
- \d
(shorthand for [0-9]
)
- \w
(shorthand for [0-9a-zA-Z_]
)
- .
(any character)
- \.
(literal full stop)
- ()
|
(group / separator)
- *
(prev char 0 or more)
- +
(prev char 1 or more)
- ?
(prev char 0 or 1)
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(char num times)
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(count range)
-
-
-
-
-samp_1
-samp_1_edited
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-samp_2_edited
-samp_3
-samp_3_edited
-prepended_samp_1
-tmp_samp_1_edited
-tmpp_samp_1_edited
-tmppp_samp_1_edited
-#samp_1_edited.tmp
-samp_11
-samp_11111
-
-
See regex101.com for a more heavy duty testing suite.
-
-
-
-
-
-
-
-
-
-
diff -r 66f1187ed363 -r 4612d775965f test-data/report_cutadapt.html
--- a/test-data/report_cutadapt.html Tue Oct 04 04:02:10 2016 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
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-MultiQC Report
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-
A modular tool to aggregate results from bioinformatics
- analyses across many samples into a single report.
-
-
-
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
-
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.
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
-
-
- ^
(start of string)
- $
(end of string)
- []
(character choice)
- \d
(shorthand for [0-9]
)
- \w
(shorthand for [0-9a-zA-Z_]
)
- .
(any character)
- \.
(literal full stop)
- ()
|
(group / separator)
- *
(prev char 0 or more)
- +
(prev char 1 or more)
- ?
(prev char 0 or 1)
- {}
(char num times)
- {,}
(count range)
-
-
-
-
-samp_1
-samp_1_edited
-samp_2
-samp_2_edited
-samp_3
-samp_3_edited
-prepended_samp_1
-tmp_samp_1_edited
-tmpp_samp_1_edited
-tmppp_samp_1_edited
-#samp_1_edited.tmp
-samp_11
-samp_11111
-
-
See regex101.com for a more heavy duty testing suite.
-
-
-
-
-
-
-
-
-
-
diff -r 66f1187ed363 -r 4612d775965f test-data/report_fastqc.html
--- a/test-data/report_fastqc.html Tue Oct 04 04:02:10 2016 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,3950 +0,0 @@
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-MultiQC Report
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-
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-
-
-
-
-
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-
-
-
-
A modular tool to aggregate results from bioinformatics
- analyses across many samples into a single report.
-
-
-
Report generated on 2016-05-23, 08:05 based on data in:
- /root/galaxy/database/jobs_directory/000/87/working/multiqc_WDir
-
-
-
-
-
-
-
-
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-
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General Statistics
-
-
- Copy table
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-
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Showing 1 rows.
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-
Uncheck the tick box to hide columns. Click and drag the handle on the left to change order.
-
-
-
-
-
-
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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: -
-
%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 .
-Counts
-Percentages
-
-
-
-
-
-
-
-
-
Per Base N Content
-
The percentage of base calls at each position for which an N was called. See the FastQC help .
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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%
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
-
-
- ^
(start of string)
- $
(end of string)
- []
(character choice)
- \d
(shorthand for [0-9]
)
- \w
(shorthand for [0-9a-zA-Z_]
)
- .
(any character)
- \.
(literal full stop)
- ()
|
(group / separator)
- *
(prev char 0 or more)
- +
(prev char 1 or more)
- ?
(prev char 0 or 1)
- {}
(char num times)
- {,}
(count range)
-
-
-
-
-samp_1
-samp_1_edited
-samp_2
-samp_2_edited
-samp_3
-samp_3_edited
-prepended_samp_1
-tmp_samp_1_edited
-tmpp_samp_1_edited
-tmppp_samp_1_edited
-#samp_1_edited.tmp
-samp_11
-samp_11111
-
-
See regex101.com for a more heavy duty testing suite.
-
-
-
-
-
-
-
-
-
-
diff -r 66f1187ed363 -r 4612d775965f test-data/report_fastqc_2.html
--- a/test-data/report_fastqc_2.html Tue Oct 04 04:02:10 2016 -0400
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,3950 +0,0 @@
-
-
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-MultiQC Report
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-
-
-
-
-
-
-
-
-
-
-
-
-
A modular tool to aggregate results from bioinformatics
- analyses across many samples into a single report.
-
-
-
Report generated on 2016-05-23, 08:05 based on data in:
- /root/galaxy/database/jobs_directory/000/88/working/multiqc_WDir
-
-
-
-
-
-
-
-
-
-
-
-
-
General Statistics
-
-
- Copy table
-
-
- Configure Columns
-
-
- Sort by highlight
-
-
Showing 2 rows.
-
-
-
-
- 36.3%
48%
101
0.3
36.2%
48%
101
0.3
-
-
-
-
-
-
-
Uncheck the tick box to hide columns. Click and drag the handle on the left to change order.
-
-
-
-
-
-
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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: -
-
%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 .
-Counts
-Percentages
-
-
-
-
-
-
-
-
-
Per Base N Content
-
The percentage of base calls at each position for which an N was called. See the FastQC help .
-
-
-
-
-
-
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 .
-
-
-
-
-
-
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%
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Toolbox search strings can behave as regular expressions (regexes). Click a button below to see an example of it in action. Try modifying them yourself in the text box.
-
-
- ^
(start of string)
- $
(end of string)
- []
(character choice)
- \d
(shorthand for [0-9]
)
- \w
(shorthand for [0-9a-zA-Z_]
)
- .
(any character)
- \.
(literal full stop)
- ()
|
(group / separator)
- *
(prev char 0 or more)
- +
(prev char 1 or more)
- ?
(prev char 0 or 1)
- {}
(char num times)
- {,}
(count range)
-
-
-
-
-samp_1
-samp_1_edited
-samp_2
-samp_2_edited
-samp_3
-samp_3_edited
-prepended_samp_1
-tmp_samp_1_edited
-tmpp_samp_1_edited
-tmppp_samp_1_edited
-#samp_1_edited.tmp
-samp_11
-samp_11111
-
-
See regex101.com for a more heavy duty testing suite.
-
-
-
-
-
-
-
-
-
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diff -r 66f1187ed363 -r 4612d775965f test-data/report_featurecounts.html
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-MultiQC Report
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A modular tool to aggregate results from bioinformatics
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Report generated on 2016-05-23, 08:05 based on data in:
- /root/galaxy/database/jobs_directory/000/86/working/multiqc_WDir
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General Statistics
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- 70.8%
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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.
-Number of Reads
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diff -r 66f1187ed363 -r 4612d775965f test-data/report_picard.html
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-MultiQC Report
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A modular tool to aggregate results from bioinformatics
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Report generated on 2016-05-23, 09:05 based on data in:
- /root/galaxy/database/jobs_directory/000/97/working/multiqc_WDir
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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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-Number of Reads
-Percentages
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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.
-Counts
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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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diff -r 66f1187ed363 -r 4612d775965f test-data/report_samtools.html
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-MultiQC Report
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A modular tool to aggregate results from bioinformatics
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Report generated on 2016-05-23, 09:05 based on data in:
- /root/galaxy/database/jobs_directory/000/89/working/multiqc_WDir
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diff -r 66f1187ed363 -r 4612d775965f test-data/report_tophat.html
--- a/test-data/report_tophat.html Tue Oct 04 04:02:10 2016 -0400
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-MultiQC Report
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A modular tool to aggregate results from bioinformatics
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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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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
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-# 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
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-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
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-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
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-IS 7595 1 1 0 0
-IS 7596 0 0 0 0
-IS 7597 0 0 0 0
-IS 7598 2 2 0 0
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-IS 7604 0 0 0 0
-IS 7605 0 0 0 0
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-IS 7607 0 0 0 0
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-IS 7651 0 0 0 0
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-IS 7655 0 0 0 0
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-IS 7660 0 0 0 0
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-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
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-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
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-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
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-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
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-IS 7763 1 1 0 0
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-IS 7765 3 3 0 0
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-IS 7767 3 3 0 0
-IS 7768 1 1 0 0
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-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
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-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
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-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
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-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
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-IS 7979 0 0 0 0
-IS 7980 0 0 0 0
-IS 7981 0 0 0 0
-IS 7982 0 0 0 0
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-IS 7984 0 0 0 0
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-IS 7990 0 0 0 0
-IS 7991 1 1 0 0
-IS 7992 0 0 0 0
-IS 7993 1 1 0 0
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-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 @@
-
-
-
-
-
-
-
-
-