# HG changeset patch
# User iuc
# Date 1588676230 14400
# Node ID 557cf45ff2c8437715c4597f403cff1e6710f6f3

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/nanocompore commit 8fa5ff35b45c2b046c7f4800410cf39cb89a299a"

diff -r 000000000000 -r 557cf45ff2c8 macros.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/macros.xml	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,31 @@
+<?xml version="1.0"?>
+<macros>
+    <token name="@TOOL_VERSION@">1.0.0rc3.post2</token>
+    <token name="@WRAPPER_VERSION@">galaxy0</token>
+    <token name="@DESCRIPTION@"></token>
+    <xml name="requirements">
+        <requirements>
+            <requirement type="package" version="@TOOL_VERSION@">nanocompore</requirement>
+        </requirements>
+    </xml>
+    <xml name="citations">
+        <citations>
+            <citation type="bibtex">@online{Nanocompore,
+              author = {Adrien Leger, Tommaso Leonard},
+              title = {Nanocompore},
+              year = 2019,
+              url = {https://nanocompore.rna.rocks/},
+              urldate = {2020-04-30}
+            }</citation>
+        </citations>
+    </xml>
+    <token name="@WID@"><![CDATA[
+Nanocompore identifies differences in ONT nanopore sequencing raw signal corresponding to RNA modifications by comparing 2 samples
+
+Nanocompore compares 2 ONT nanopore direct RNA sequencing datasets from different experimental conditions expected to have a significant impact on RNA modifications. It is recommended to have at least 2 replicates per condition. For example one can use a control condition with a significantly reduced number of modifications such as a cell line for which a modification writing enzyme was knocked-down or knocked-out. Alternatively, on a smaller scale transcripts of interests could be synthesized in-vitro.
+    ]]></token>
+
+    <token name="@REFERENCES@"><![CDATA[
+More information are available on the `project website <https://nanocompore.rna.rocks/>`_ and `github <https://github.com/tleonardi/nanocompore>`_.
+    ]]></token>
+</macros>
\ No newline at end of file
diff -r 000000000000 -r 557cf45ff2c8 sampcomp.xml
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/sampcomp.xml	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,220 @@
+<?xml version="1.0"?>
+<tool id="nanocompore_sampcomp" name="SampComp" version="@TOOL_VERSION@+@WRAPPER_VERSION@">
+    <description>to compare Nanopolished datasets</description>
+    <macros>
+        <import>macros.xml</import>
+    </macros>
+    <expand macro="requirements"/>
+    <version_command><![CDATA[nanocompore --version]]></version_command>
+    <command detect_errors="exit_code"><![CDATA[
+        ## initialize
+        ## requires a minimum of 3 threads
+        threads=\$((3 > \${GALAXY_SLOTS:-3} ? 3 : \${GALAXY_SLOTS:-3})) &&
+        ## same name pattern required
+        #for $i, $current in enumerate($file1_rep)
+            ln -s '$current.file' 'sample_1_${i}.tsv' &&
+            ln -s '$current.index' 'sample_1_${i}.tsv.idx' &&
+        #end for
+        #for $i, $current in enumerate($file2_rep)
+            ln -s '$current.file' 'sample_2_${i}.tsv' &&
+            ln -s '$current.index' 'sample_2_${i}.tsv.idx' &&
+        #end for
+
+        ## run
+        nanocompore sampcomp
+        ## required
+        --label1 '$label1'
+        #set files1 = ','.join(['sample_1_' + str(item) + '.tsv' for item in range(len($file1_rep))])
+        --file_list1 '$files1'
+        --label2 '$label2'
+        #set files2 = ','.join(['sample_2_' + str(item) + '.tsv' for item in range(len($file2_rep))])
+        --file_list2 '$files2'
+        --fasta '$fasta'
+        ## optional
+        #if $ap.bed
+            --bed '$ap.bed'
+        #end if
+        --max_invalid_kmers_freq $ap.max_invalid_kmers_freq
+        --min_coverage $ap.min_coverage
+        --min_ref_length $ap.min_ref_length
+        --comparison_methods '$ap.comparison_methods'
+        --sequence_context $ap.sequence_context
+        --sequence_context_weights '$ap.sequence_context_weights'
+        --pvalue_thr $ap.pvalue_thr
+        $ap.logit
+        $ap.allow_warnings
+        --outpath 'results'
+        --nthreads \$threads
+        --log_level debug
+
+        && tar -cf 'results/db.tar' 'results/out_SampComp.db.bak' 'results/out_SampComp.db.dir' 'results/out_SampComp.db.dat'
+        ]]></command>
+    <inputs>
+        <param argument="--label1" type="text" value="Condition 1" label="Set label of first condition"/>
+        <repeat name="file1_rep" min="1" title="First condition files">
+            <param name="file" type="data" format="tabular" label="Select NanopolishComp file" help="(--file_list1)"/>
+            <param name="index" type="data" format="tabular" label="Select index file"/>
+        </repeat>
+        <param argument="--label2" type="text" value="Condition 2" label="Set label of second condition"/>
+        <repeat name="file2_rep" min="1" title="Second condition files">
+            <param name="file" type="data" format="tabular" label="Select NanopolishComp file" help="(--file_list2)"/>
+            <param name="index" type="data" format="tabular" label="Select index file"/>
+        </repeat>
+        <param argument="--fasta" type="data" format="fasta" label="Select mapping file"/>
+
+        <section name="ap" title="Advanced parameters">
+            <param argument="--bed" type="data" format="bed" optional="true" label="Select mapping file with annotation of transcriptome"/>
+            <param argument="--max_invalid_kmers_freq" type="float" value="0.1" min="0.0" max="1.0" label="Set max fequency of invalid kmers"/>
+            <param argument="--min_coverage" type="integer" value="30" min="0" label="Set minimum coverage required in each condition to do the comparison"/>
+            <param argument="--min_ref_length" type="integer" value="100" min="0" label="Set minimum length of a reference transcript to include it in the analysis"/>
+            <param argument="--comparison_methods" type="select" multiple="true" label="Select comparison methods">
+                <option value="GMM" selected="true">GMM</option>
+                <option value="KS" selected="true">KS</option>
+                <option value="TT">TT</option>
+                <option value="MW">MW</option>
+            </param>
+            <param argument="--sequence_context" type="integer" value="0" min="0" max="4" label="Set sequence context for combining p-values"/>
+            <param argument="--sequence_context_weights" type="select" label="Select type of weights to use for combining p-values">
+                <option value="uniform" selected="true">Uniform</option>
+                <option value="harmonic">Harmonic</option>
+            </param>
+            <param argument="--pvalue_thr" type="float" value="0.05" min="0.0" max="1.0" label="Set adjusted p-value threshold for reporting significant sites"/>
+            <param argument="--logit" type="boolean" truevalue="--logit" falsevalue="" label="Use logistic regression testing also when all conditions have replicates?"/>
+            <param argument="--allow_warnings" type="boolean" truevalue="--allow_warnings" falsevalue="" label="Should runtime warnings during the ANOVA tests raise an error?"/>
+            <param name="out" type="select" multiple="true" optional="false" label="Select output file(s)">
+                <option value="results" selected="true">Results</option>
+                <option value="shift" selected="true">Shift stats</option>
+                <option value="db" selected="true">Database (*.db.dir, *.db.bak, *.db.dat)</option>
+                <option value="log">Log</option>
+            </param>
+        </section>
+    </inputs>
+    <outputs>
+         <data name="out_results" format="tabular" from_work_dir="results/out_nanocompore_results.tsv" label="${tool.name} on ${on_string}: Results">
+            <filter>'results' in ap['out']</filter>
+        </data>
+         <data name="out_shift" format="tabular" from_work_dir="results/out_nanocompore_shift_stats.tsv" label="${tool.name} on ${on_string}: Shift stats">
+            <filter>'shift' in ap['out']</filter>
+        </data>
+        <data name="out_db" format="tar" from_work_dir="results/db.tar" label="${tool.name} on ${on_string}: Database">
+            <filter>'db' in ap['out']</filter>
+        </data>
+        <data name="out_log" format="txt" from_work_dir="results/out_SampComp.log" label="${tool.name} on ${on_string}: log">
+            <filter>'log' in ap['out']</filter>
+        </data>
+    </outputs>
+    <tests>
+        <!-- #1 -->
+        <test expect_num_outputs="3">
+            <repeat name="file1_rep">
+                <param name="file" value="sample1.tsv"/>
+                <param name="index" value="sample1.tsv.idx"/>
+            </repeat>
+            <repeat name="file2_rep">
+                <param name="file" value="sample2.tsv"/>
+                <param name="index" value="sample2.tsv.idx"/>
+            </repeat>
+            <param name="fasta" value="reference.fa"/>
+            <output name="out_results">
+                <assert_contents>
+                    <has_n_lines n="3"/>
+                    <has_text_matching expression="pos&#09;chr.+"/>
+                    <has_text_matching expression="22102&#09;NA.+"/>
+                </assert_contents>
+            </output>
+            <output name="out_shift">
+                <assert_contents>
+                    <has_n_lines n="3"/>
+                    <has_text_matching expression="ref\_id&#09;pos.+"/>
+                    <has_text_matching expression="chr&#09;22102.+"/>
+                </assert_contents>
+            </output>
+            <output name="out_db">
+                <assert_contents>
+                    <has_size value="5408256"/>
+                </assert_contents>
+            </output>
+        </test>
+        <!-- #2 -->
+        <test expect_num_outputs="4">
+            <param name="label1" value="C1"/>
+            <repeat name="file1_rep">
+                <param name="file" value="sample1.tsv"/>
+                <param name="index" value="sample1.tsv.idx"/>
+            </repeat>
+            <param name="label2" value="C2"/>
+            <repeat name="file2_rep">
+                <param name="file" value="sample2.tsv"/>
+                <param name="index" value="sample2.tsv.idx"/>
+            </repeat>
+            <param name="fasta" value="reference.fa"/>
+            <section name="ap">
+                <param name="max_invalid_kmers_freq" value="0.2"/>
+                <param name="min_coverage" value="31"/>
+                <param name="min_ref_length" value="101"/>
+                <param name="comparison_methods" value="GMM,KS,TT,MW"/>
+                <param name="sequence_context" value="1"/>
+                <param name="sequence_context_weights" value="harmonic"/>
+                <param name="pvalue_thr" value="0.06"/>
+                <param name="logit" value="true"/>
+                <param name="allow_warnings" value="true"/>
+                <param name="out" value="results,shift,db,log"/>
+            </section>
+            <output name="out_results">
+                <assert_contents>
+                    <has_n_lines n="3"/>
+                    <has_text_matching expression="pos&#09;chr.+"/>
+                    <has_text_matching expression="22102&#09;NA.+"/>
+                </assert_contents>
+            </output>
+            <output name="out_shift">
+                <assert_contents>
+                    <has_n_lines n="3"/>
+                    <has_text_matching expression="ref\_id&#09;pos.+"/>
+                    <has_text_matching expression="chr&#09;22102.+"/>
+                </assert_contents>
+            </output>
+            <output name="out_db">
+                <assert_contents>
+                    <has_size value="5410304"/>
+                </assert_contents>
+            </output>
+            <output name="out_log">
+                <assert_contents>
+                    <has_n_lines n="31"/>
+                    <has_text_matching expression=".+package\_name.+"/>
+                </assert_contents>
+            </output>
+        </test>
+    </tests>
+    <help><![CDATA[
+.. class:: infomark
+
+**What it does**
+
+@WID@
+
+SampComp provides a very flexible analysis framework with a few mandatory options and many optional parameters.
+
+First, SampComp parses the sample eventalign collapse files and then the observed results are piled-up per reference at position level. In a second time, positions are compared using various statistical methods and the statistics are stored in a shelve DBM database containing the results for all positions with sufficient coverage.
+
+**Input**
+
+SampComp requires sample files obtained with NanopolishComp EventalignCollapse as explained before (see data preparation) for both the control and the experimental conditions. 2 conditions are expected and at least 2 replicates per conditions are highly recommended.
+
+A transcriptome FASTA reference file is required to extract kmer sequences during the analyses. The reference has to be the same as the one used at the mapping step.
+
+Optionally, a BED file containing the genome annotations corresponding to the transcriptome fasta file can be provided. In that case Nanocompore will also convert the transcript coordinates into the genome space.
+
+**Output**
+
+The database object returned by Sampcomp is a Python GDBM object database indexed by reference id and can be be used with SampCompDB.
+
+.. class:: infomark
+
+**References**
+
+@REFERENCES@
+    ]]></help>
+    <expand macro="citations"/>
+</tool>
\ No newline at end of file
diff -r 000000000000 -r 557cf45ff2c8 test-data/reference.fa
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/reference.fa	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,417 @@
+>chr
+ATTAAAGGTTTATACCTTCCCAGGTAACAAACCAACCAACTTTCGATCTCTTGTAGATCTGTTCTCTAAACG
+AACTTTAAAATCTGTGTGGCTGTCACTCGGCTGCATGCTTAGTGCACTCACGCAGTATAATTAATAACTAAT
+TACTGTCGTTGACAGGACACGAGTAACTCGTCTATCTTCTGCAGGCTGCTTACGGTTTCGTCCGTGTTGCAG
+CCGATCATCAGCACATCTAGGTTTCGTCCGGGTGTGACCGAAAGGTAAGATGGAGAGCCTTGTCCCTGGTTT
+CAACGAGAAAACACACGTCCAACTCAGTTTGCCTGTTTTACAGGTTCGCGACGTGCTCGTACGTGGCTTTGG
+AGACTCCGTGGAGGAGGTCTTATCAGAGGCACGTCAACATCTTAAAGATGGCACTTGTGGCTTAGTAGAAGT
+TGAAAAAGGCGTTTTGCCTCAACTTGAACAGCCCTATGTGTTCATCAAACGTTCGGATGCTCGAACTGCACC
+TCATGGTCATGTTATGGTTGAGCTGGTAGCAGAACTCGAAGGCATTCAGTACGGTCGTAGTGGTGAGACACT
+TGGTGTCCTTGTCCCTCATGTGGGCGAAATACCAGTGGCTTACCGCAAGGTTCTTCTTCGTAAGAACGGTAA
+TAAAGGAGCTGGTGGCCATAGTTACGGCGCCGATCTAAAGTCATTTGACTTAGGCGACGAGCTTGGCACTGA
+TCCTTATGAAGATTTTCAAGAAAACTGGAACACTAAACATAGCAGTGGTGTTACCCGTGAACTCATGCGTGA
+GCTTAACGGAGGGGCATACACTCGCTATGTCGATAACAACTTCTGTGGCCCTGATGGCTACCCTCTTGAGTG
+CATTAAAGACCTTCTAGCACGTGCTGGTAAAGCTTCATGCACTTTGTCCGAACAACTGGACTTTATTGACAC
+TAAGAGGGGTGTATACTGCTGCCGTGAACATGAGCATGAAATTGCTTGGTACACGGAACGTTCTGAAAAGAG
+CTATGAATTGCAGACACCTTTTGAAATTAAATTGGCAAAGAAATTTGACACCTTCAATGGGGAATGTCCAAA
+TTTTGTATTTCCCTTAAATTCCATAATCAAGACTATTCAACCAAGGGTTGAAAAGAAAAAGCTTGATGGCTT
+TATGGGTAGAATTCGATCTGTCTATCCAGTTGCGTCACCAAATGAATGCAACCAAATGTGCCTTTCAACTCT
+CATGAAGTGTGATCATTGTGGTGAAACTTCATGGCAGACGGGCGATTTTGTTAAAGCCACTTGCGAATTTTG
+TGGCACTGAGAATTTGACTAAAGAAGGTGCCACTACTTGTGGTTACTTACCCCAAAATGCTGTTGTTAAAAT
+TTATTGTCCAGCATGTCACAATTCAGAAGTAGGACCTGAGCATAGTCTTGCCGAATACCATAATGAATCTGG
+CTTGAAAACCATTCTTCGTAAGGGTGGTCGCACTATTGCCTTTGGAGGCTGTGTGTTCTCTTATGTTGGTTG
+CCATAACAAGTGTGCCTATTGGGTTCCACGTGCTAGCGCTAACATAGGTTGTAACCATACAGGTGTTGTTGG
+AGAAGGTTCCGAAGGTCTTAATGACAACCTTCTTGAAATACTCCAAAAAGAGAAAGTCAACATCAATATTGT
+TGGTGACTTTAAACTTAATGAAGAGATCGCCATTATTTTGGCATCTTTTTCTGCTTCCACAAGTGCTTTTGT
+GGAAACTGTGAAAGGTTTGGATTATAAAGCATTCAAACAAATTGTTGAATCCTGTGGTAATTTTAAAGTTAC
+AAAAGGAAAAGCTAAAAAAGGTGCCTGGAATATTGGTGAACAGAAATCAATACTGAGTCCTCTTTATGCATT
+TGCATCAGAGGCTGCTCGTGTTGTACGATCAATTTTCTCCCGCACTCTTGAAACTGCTCAAAATTCTGTGCG
+TGTTTTACAGAAGGCCGCTATAACAATACTAGATGGAATTTCACAGTATTCACTGAGACTCATTGATGCTAT
+GATGTTCACATCTGATTTGGCTACTAACAATCTAGTTGTAATGGCCTACATTACAGGTGGTGTTGTTCAGTT
+GACTTCGCAGTGGCTAACTAACATCTTTGGCACTGTTTATGAAAAACTCAAACCCGTCCTTGATTGGCTTGA
+AGAGAAGTTTAAGGAAGGTGTAGAGTTTCTTAGAGACGGTTGGGAAATTGTTAAATTTATCTCAACCTGTGC
+TTGTGAAATTGTCGGTGGACAAATTGTCACCTGTGCAAAGGAAATTAAGGAGAGTGTTCAGACATTCTTTAA
+GCTTGTAAATAAATTTTTGGCTTTGTGTGCTGACTCTATCATTATTGGTGGAGCTAAACTTAAAGCCTTGAA
+TTTAGGTGAAACATTTGTCACGCACTCAAAGGGATTGTACAGAAAGTGTGTTAAATCCAGAGAAGAAACTGG
+CCTACTCATGCCTCTAAAAGCCCCAAAAGAAATTATCTTCTTAGAGGGAGAAACACTTCCCACAGAAGTGTT
+AACAGAGGAAGTTGTCTTGAAAACTGGTGATTTACAACCATTAGAACAACCTACTAGTGAAGCTGTTGAAGC
+TCCATTGGTTGGTACACCAGTTTGTATTAACGGGCTTATGTTGCTCGAAATCAAAGACACAGAAAAGTACTG
+TGCCCTTGCACCTAATATGATGGTAACAAACAATACCTTCACACTCAAAGGCGGTGCACCAACAAAGGTTAC
+TTTTGGTGATGACACTGTGATAGAAGTGCAAGGTTACAAGAGTGTGAATATCACTTTTGAACTTGATGAAAG
+GATTGATAAAGTACTTAATGAGAAGTGCTCTGCCTATACAGTTGAACTCGGTACAGAAGTAAATGAGTTCGC
+CTGTGTTGTGGCAGATGCTGTCATAAAAACTTTGCAACCAGTATCTGAATTACTTACACCACTGGGCATTGA
+TTTAGATGAGTGGAGTATGGCTACATACTACTTATTTGATGAGTCTGGTGAGTTTAAATTGGCTTCACATAT
+GTATTGTTCTTTCTACCCTCCAGATGAGGATGAAGAAGAAGGTGATTGTGAAGAAGAAGAGTTTGAGCCATC
+AACTCAATATGAGTATGGTACTGAAGATGATTACCAAGGTAAACCTTTGGAATTTGGTGCCACTTCTGCTGC
+TCTTCAACCTGAAGAAGAGCAAGAAGAAGATTGGTTAGATGATGATAGTCAACAAACTGTTGGTCAACAAGA
+CGGCAGTGAGGACAATCAGACAACTACTATTCAAACAATTGTTGAGGTTCAACCTCAATTAGAGATGGAACT
+TACACCAGTTGTTCAGACTATTGAAGTGAATAGTTTTAGTGGTTATTTAAAACTTACTGACAATGTATACAT
+TAAAAATGCAGACATTGTGGAAGAAGCTAAAAAGGTAAAACCAACAGTGGTTGTTAATGCAGCCAATGTTTA
+CCTTAAACATGGAGGAGGTGTTGCAGGAGCCTTAAATAAGGCTACTAACAATGCCATGCAAGTTGAATCTGA
+TGATTACATAGCTACTAATGGACCACTTAAAGTGGGTGGTAGTTGTGTTTTAAGCGGACACAATCTTGCTAA
+ACACTGTCTTCATGTTGTCGGCCCAAATGTTAACAAAGGTGAAGACATTCAACTTCTTAAGAGTGCTTATGA
+AAATTTTAATCAGCACGAAGTTCTACTTGCACCATTATTATCAGCTGGTATTTTTGGTGCTGACCCTATACA
+TTCTTTAAGAGTTTGTGTAGATACTGTTCGCACAAATGTCTACTTAGCTGTCTTTGATAAAAATCTCTATGA
+CAAACTTGTTTCAAGCTTTTTGGAAATGAAGAGTGAAAAGCAAGTTGAACAAAAGATCGCTGAGATTCCTAA
+AGAGGAAGTTAAGCCATTTATAACTGAAAGTAAACCTTCAGTTGAACAGAGAAAACAAGATGATAAGAAAAT
+CAAAGCTTGTGTTGAAGAAGTTACAACAACTCTGGAAGAAACTAAGTTCCTCACAGAAAACTTGTTACTTTA
+TATTGACATTAATGGCAATCTTCATCCAGATTCTGCCACTCTTGTTAGTGACATTGACATCACTTTCTTAAA
+GAAAGATGCTCCATATATAGTGGGTGATGTTGTTCAAGAGGGTGTTTTAACTGCTGTGGTTATACCTACTAA
+AAAGGCTGGTGGCACTACTGAAATGCTAGCGAAAGCTTTGAGAAAAGTGCCAACAGACAATTATATAACCAC
+TTACCCGGGTCAGGGTTTAAATGGTTACACTGTAGAGGAGGCAAAGACAGTGCTTAAAAAGTGTAAAAGTGC
+CTTTTACATTCTACCATCTATTATCTCTAATGAGAAGCAAGAAATTCTTGGAACTGTTTCTTGGAATTTGCG
+AGAAATGCTCGCACATGCAGAAGAAACACGCAAATTAATGCCTGTCTGTGTGGAAACTAAAGCCATAGTTTC
+AACTATACAGCGTAAATATAAGGGTATTAAAATACAAGAGGGTGTGGTTGATTATGGTGCTAGATTTTACTT
+TTACACCAGTAAAACAACTGTAGCGTCACTTATCAACACACTTAACGATCTAAATGAAACTCTTGTTACAAT
+GCCACTTGGCTATGTAACACATGGCTTAAATTTGGAAGAAGCTGCTCGGTATATGAGATCTCTCAAAGTGCC
+AGCTACAGTTTCTGTTTCTTCACCTGATGCTGTTACAGCGTATAATGGTTATCTTACTTCTTCTTCTAAAAC
+ACCTGAAGAACATTTTATTGAAACCATCTCACTTGCTGGTTCCTATAAAGATTGGTCCTATTCTGGACAATC
+TACACAACTAGGTATAGAATTTCTTAAGAGAGGTGATAAAAGTGTATATTACACTAGTAATCCTACCACATT
+CCACCTAGATGGTGAAGTTATCACCTTTGACAATCTTAAGACACTTCTTTCTTTGAGAGAAGTGAGGACTAT
+TAAGGTGTTTACAACAGTAGACAACATTAACCTCCACACGCAAGTTGTGGACATGTCAATGACATATGGACA
+ACAGTTTGGTCCAACTTATTTTGATGGAGCTGATGTTACTAAAATAAAACCTCATAATTCACATGAAGGTAA
+AACATTTTATGTTTTACCTAATGATGACACTCTACGTGTTGAGGCTTTTGAGTACTACCACACAACTGATCC
+TAGTTTTCTGGGTAGGTACATGTCAGCATTAAATCACACTAAAAAGTGGAAATACCCACAAGTTAATGGTTT
+AACTTCTATTAAATGGGCAGATAACAACTGTTATCTTGCCACTGCATTGTTAACACTCCAACAAATAGAGTT
+GAAGTTTAATCCACCTGCTCTACAAGATGCTTATTACAGAGCAAGGGCTGGTGAAGCTGCTAACTTTTGTGC
+ACTTATCTTAGCCTACTGTAATAAGACAGTAGGTGAGTTAGGTGATGTTAGAGAAACAATGAGTTACTTGTT
+TCAACATGCCAATTTAGATTCTTGCAAAAGAGTCTTGAACGTGGTGTGTAAAACTTGTGGACAACAGCAGAC
+AACCCTTAAGGGTGTAGAAGCTGTTATGTACATGGGCACACTTTCTTATGAACAATTTAAGAAAGGTGTTCA
+GATACCTTGTACGTGTGGTAAACAAGCTACAAAATATCTAGTACAACAGGAGTCACCTTTTGTTATGATGTC
+AGCACCACCTGCTCAGTATGAACTTAAGCATGGTACATTTACTTGTGCTAGTGAGTACACTGGTAATTACCA
+GTGTGGTCACTATAAACATATAACTTCTAAAGAAACTTTGTATTGCATAGACGGTGCTTTACTTACAAAGTC
+CTCAGAATACAAAGGTCCTATTACGGATGTTTTCTACAAAGAAAACAGTTACACAACAACCATAAAACCAGT
+TACTTATAAATTGGATGGTGTTGTTTGTACAGAAATTGACCCTAAGTTGGACAATTATTATAAGAAAGACAA
+TTCTTATTTCACAGAGCAACCAATTGATCTTGTACCAAACCAACCATATCCAAACGCAAGCTTCGATAATTT
+TAAGTTTGTATGTGATAATATCAAATTTGCTGATGATTTAAACCAGTTAACTGGTTATAAGAAACCTGCTTC
+AAGAGAGCTTAAAGTTACATTTTTCCCTGACTTAAATGGTGATGTGGTGGCTATTGATTATAAACACTACAC
+ACCCTCTTTTAAGAAAGGAGCTAAATTGTTACATAAACCTATTGTTTGGCATGTTAACAATGCAACTAATAA
+AGCCACGTATAAACCAAATACCTGGTGTATACGTTGTCTTTGGAGCACAAAACCAGTTGAAACATCAAATTC
+GTTTGATGTACTGAAGTCAGAGGACGCGCAGGGAATGGATAATCTTGCCTGCGAAGATCTAAAACCAGTCTC
+TGAAGAAGTAGTGGAAAATCCTACCATACAGAAAGACGTTCTTGAGTGTAATGTGAAAACTACCGAAGTTGT
+AGGAGACATTATACTTAAACCAGCAAATAATAGTTTAAAAATTACAGAAGAGGTTGGCCACACAGATCTAAT
+GGCTGCTTATGTAGACAATTCTAGTCTTACTATTAAGAAACCTAATGAATTATCTAGAGTATTAGGTTTGAA
+AACCCTTGCTACTCATGGTTTAGCTGCTGTTAATAGTGTCCCTTGGGATACTATAGCTAATTATGCTAAGCC
+TTTTCTTAACAAAGTTGTTAGTACAACTACTAACATAGTTACACGGTGTTTAAACCGTGTTTGTACTAATTA
+TATGCCTTATTTCTTTACTTTATTGCTACAATTGTGTACTTTTACTAGAAGTACAAATTCTAGAATTAAAGC
+ATCTATGCCGACTACTATAGCAAAGAATACTGTTAAGAGTGTCGGTAAATTTTGTCTAGAGGCTTCATTTAA
+TTATTTGAAGTCACCTAATTTTTCTAAACTGATAAATATTATAATTTGGTTTTTACTATTAAGTGTTTGCCT
+AGGTTCTTTAATCTACTCAACCGCTGCTTTAGGTGTTTTAATGTCTAATTTAGGCATGCCTTCTTACTGTAC
+TGGTTACAGAGAAGGCTATTTGAACTCTACTAATGTCACTATTGCAACCTACTGTACTGGTTCTATACCTTG
+TAGTGTTTGTCTTAGTGGTTTAGATTCTTTAGACACCTATCCTTCTTTAGAAACTATACAAATTACCATTTC
+ATCTTTTAAATGGGATTTAACTGCTTTTGGCTTAGTTGCAGAGTGGTTTTTGGCATATATTCTTTTCACTAG
+GTTTTTCTATGTACTTGGATTGGCTGCAATCATGCAATTGTTTTTCAGCTATTTTGCAGTACATTTTATTAG
+TAATTCTTGGCTTATGTGGTTAATAATTAATCTTGTACAAATGGCCCCGATTTCAGCTATGGTTAGAATGTA
+CATCTTCTTTGCATCATTTTATTATGTATGGAAAAGTTATGTGCATGTTGTAGACGGTTGTAATTCATCAAC
+TTGTATGATGTGTTACAAACGTAATAGAGCAACAAGAGTCGAATGTACAACTATTGTTAATGGTGTTAGAAG
+GTCCTTTTATGTCTATGCTAATGGAGGTAAAGGCTTTTGCAAACTACACAATTGGAATTGTGTTAATTGTGA
+TACATTCTGTGCTGGTAGTACATTTATTAGTGATGAAGTTGCGAGAGACTTGTCACTACAGTTTAAAAGACC
+AATAAATCCTACTGACCAGTCTTCTTACATCGTTGATAGTGTTACAGTGAAGAATGGTTCCATCCATCTTTA
+CTTTGATAAAGCTGGTCAAAAGACTTATGAAAGACATTCTCTCTCTCATTTTGTTAACTTAGACAACCTGAG
+AGCTAATAACACTAAAGGTTCATTGCCTATTAATGTTATAGTTTTTGATGGTAAATCAAAATGTGAAGAATC
+ATCTGCAAAATCAGCGTCTGTTTACTACAGTCAGCTTATGTGTCAACCTATACTGTTACTAGATCAGGCATT
+AGTGTCTGATGTTGGTGATAGTGCGGAAGTTGCAGTTAAAATGTTTGATGCTTACGTTAATACGTTTTCATC
+AACTTTTAACGTACCAATGGAAAAACTCAAAACACTAGTTGCAACTGCAGAAGCTGAACTTGCAAAGAATGT
+GTCCTTAGACAATGTCTTATCTACTTTTATTTCAGCAGCTCGGCAAGGGTTTGTTGATTCAGATGTAGAAAC
+TAAAGATGTTGTTGAATGTCTTAAATTGTCACATCAATCTGACATAGAAGTTACTGGCGATAGTTGTAATAA
+CTATATGCTCACCTATAACAAAGTTGAAAACATGACACCCCGTGACCTTGGTGCTTGTATTGACTGTAGTGC
+GCGTCATATTAATGCGCAGGTAGCAAAAAGTCACAACATTGCTTTGATATGGAACGTTAAAGATTTCATGTC
+ATTGTCTGAACAACTACGAAAACAAATACGTAGTGCTGCTAAAAAGAATAACTTACCTTTTAAGTTGACATG
+TGCAACTACTAGACAAGTTGTTAATGTTGTAACAACAAAGATAGCACTTAAGGGTGGTAAAATTGTTAATAA
+TTGGTTGAAGCAGTTAATTAAAGTTACACTTGTGTTCCTTTTTGTTGCTGCTATTTTCTATTTAATAACACC
+TGTTCATGTCATGTCTAAACATACTGACTTTTCAAGTGAAATCATAGGATACAAGGCTATTGATGGTGGTGT
+CACTCGTGACATAGCATCTACAGATACTTGTTTTGCTAACAAACATGCTGATTTTGACACATGGTTTAGTCA
+GCGTGGTGGTAGTTATACTAATGACAAAGCTTGCCCATTGATTGCTGCAGTCATAACAAGAGAAGTGGGTTT
+TGTCGTGCCTGGTTTGCCTGGCACGATATTACGCACAACTAATGGTGACTTTTTGCATTTCTTACCTAGAGT
+TTTTAGTGCAGTTGGTAACATCTGTTACACACCATCAAAACTTATAGAGTACACTGACTTTGCAACATCAGC
+TTGTGTTTTGGCTGCTGAATGTACAATTTTTAAAGATGCTTCTGGTAAGCCAGTACCATATTGTTATGATAC
+CAATGTACTAGAAGGTTCTGTTGCTTATGAAAGTTTACGCCCTGACACACGTTATGTGCTCATGGATGGCTC
+TATTATTCAATTTCCTAACACCTACCTTGAAGGTTCTGTTAGAGTGGTAACAACTTTTGATTCTGAGTACTG
+TAGGCACGGCACTTGTGAAAGATCAGAAGCTGGTGTTTGTGTATCTACTAGTGGTAGATGGGTACTTAACAA
+TGATTATTACAGATCTTTACCAGGAGTTTTCTGTGGTGTAGATGCTGTAAATTTACTTACTAATATGTTTAC
+ACCACTAATTCAACCTATTGGTGCTTTGGACATATCAGCATCTATAGTAGCTGGTGGTATTGTAGCTATCGT
+AGTAACATGCCTTGCCTACTATTTTATGAGGTTTAGAAGAGCTTTTGGTGAATACAGTCATGTAGTTGCCTT
+TAATACTTTACTATTCCTTATGTCATTCACTGTACTCTGTTTAACACCAGTTTACTCATTCTTACCTGGTGT
+TTATTCTGTTATTTACTTGTACTTGACATTTTATCTTACTAATGATGTTTCTTTTTTAGCACATATTCAGTG
+GATGGTTATGTTCACACCTTTAGTACCTTTCTGGATAACAATTGCTTATATCATTTGTATTTCCACAAAGCA
+TTTCTATTGGTTCTTTAGTAATTACCTAAAGAGACGTGTAGTCTTTAATGGTGTTTCCTTTAGTACTTTTGA
+AGAAGCTGCGCTGTGCACCTTTTTGTTAAATAAAGAAATGTATCTAAAGTTGCGTAGTGATGTGCTATTACC
+TCTTACGCAATATAATAGATACTTAGCTCTTTATAATAAGTACAAGTATTTTAGTGGAGCAATGGATACAAC
+TAGCTACAGAGAAGCTGCTTGTTGTCATCTCGCAAAGGCTCTCAATGACTTCAGTAACTCAGGTTCTGATGT
+TCTTTACCAACCACCACAAACCTCTATCACCTCAGCTGTTTTGCAGAGTGGTTTTAGAAAAATGGCATTCCC
+ATCTGGTAAAGTTGAGGGTTGTATGGTACAAGTAACTTGTGGTACAACTACACTTAACGGTCTTTGGCTTGA
+TGACGTAGTTTACTGTCCAAGACATGTGATCTGCACCTCTGAAGACATGCTTAACCCTAATTATGAAGATTT
+ACTCATTCGTAAGTCTAATCATAATTTCTTGGTACAGGCTGGTAATGTTCAACTCAGGGTTATTGGACATTC
+TATGCAAAATTGTGTACTTAAGCTTAAGGTTGATACAGCCAATCCTAAGACACCTAAGTATAAGTTTGTTCG
+CATTCAACCAGGACAGACTTTTTCAGTGTTAGCTTGTTACAATGGTTCACCATCTGGTGTTTACCAATGTGC
+TATGAGGCCCAATTTCACTATTAAGGGTTCATTCCTTAATGGTTCATGTGGTAGTGTTGGTTTTAACATAGA
+TTATGACTGTGTCTCTTTTTGTTACATGCACCATATGGAATTACCAACTGGAGTTCATGCTGGCACAGACTT
+AGAAGGTAACTTTTATGGACCTTTTGTTGACAGGCAAACAGCACAAGCAGCTGGTACGGACACAACTATTAC
+AGTTAATGTTTTAGCTTGGTTGTACGCTGCTGTTATAAATGGAGACAGGTGGTTTCTCAATCGATTTACCAC
+AACTCTTAATGACTTTAACCTTGTGGCTATGAAGTACAATTATGAACCTCTAACACAAGACCATGTTGACAT
+ACTAGGACCTCTTTCTGCTCAAACTGGAATTGCCGTTTTAGATATGTGTGCTTCATTAAAAGAATTACTGCA
+AAATGGTATGAATGGACGTACCATATTGGGTAGTGCTTTATTAGAAGATGAATTTACACCTTTTGATGTTGT
+TAGACAATGCTCAGGTGTTACTTTCCAAAGTGCAGTGAAAAGAACAATCAAGGGTACACACCACTGGTTGTT
+ACTCACAATTTTGACTTCACTTTTAGTTTTAGTCCAGAGTACTCAATGGTCTTTGTTCTTTTTTTTGTATGA
+AAATGCCTTTTTACCTTTTGCTATGGGTATTATTGCTATGTCTGCTTTTGCAATGATGTTTGTCAAACATAA
+GCATGCATTTCTCTGTTTGTTTTTGTTACCTTCTCTTGCCACTGTAGCTTATTTTAATATGGTCTATATGCC
+TGCTAGTTGGGTGATGCGTATTATGACATGGTTGGATATGGTTGATACTAGTTTGTCTGGTTTTAAGCTAAA
+AGACTGTGTTATGTATGCATCAGCTGTAGTGTTACTAATCCTTATGACAGCAAGAACTGTGTATGATGATGG
+TGCTAGGAGAGTGTGGACACTTATGAATGTCTTGACACTCGTTTATAAAGTTTATTATGGTAATGCTTTAGA
+TCAAGCCATTTCCATGTGGGCTCTTATAATCTCTGTTACTTCTAACTACTCAGGTGTAGTTACAACTGTCAT
+GTTTTTGGCCAGAGGTATTGTTTTTATGTGTGTTGAGTATTGCCCTATTTTCTTCATAACTGGTAATACACT
+TCAGTGTATAATGCTAGTTTATTGTTTCTTAGGCTATTTTTGTACTTGTTACTTTGGCCTCTTTTGTTTACT
+CAACCGCTACTTTAGACTGACTCTTGGTGTTTATGATTACTTAGTTTCTACACAGGAGTTTAGATATATGAA
+TTCACAGGGACTACTCCCACCCAAGAATAGCATAGATGCCTTCAAACTCAACATTAAATTGTTGGGTGTTGG
+TGGCAAACCTTGTATCAAAGTAGCCACTGTACAGTCTAAAATGTCAGATGTAAAGTGCACATCAGTAGTCTT
+ACTCTCAGTTTTGCAACAACTCAGAGTAGAATCATCATCTAAATTGTGGGCTCAATGTGTCCAGTTACACAA
+TGACATTCTCTTAGCTAAAGATACTACTGAAGCCTTTGAAAAAATGGTTTCACTACTTTCTGTTTTGCTTTC
+CATGCAGGGTGCTGTAGACATAAACAAGCTTTGTGAAGAAATGCTGGACAACAGGGCAACCTTACAAGCTAT
+AGCCTCAGAGTTTAGTTCCCTTCCATCATATGCAGCTTTTGCTACTGCTCAAGAAGCTTATGAGCAGGCTGT
+TGCTAATGGTGATTCTGAAGTTGTTCTTAAAAAGTTGAAGAAGTCTTTGAATGTGGCTAAATCTGAATTTGA
+CCGTGATGCAGCCATGCAACGTAAGTTGGAAAAGATGGCTGATCAAGCTATGACCCAAATGTATAAACAGGC
+TAGATCTGAGGACAAGAGGGCAAAAGTTACTAGTGCTATGCAGACAATGCTTTTCACTATGCTTAGAAAGTT
+GGATAATGATGCACTCAACAACATTATCAACAATGCAAGAGATGGTTGTGTTCCCTTGAACATAATACCTCT
+TACAACAGCAGCCAAACTAATGGTTGTCATACCAGACTATAACACATATAAAAATACGTGTGATGGTACAAC
+ATTTACTTATGCATCAGCATTGTGGGAAATCCAACAGGTTGTAGATGCAGATAGTAAAATTGTTCAACTTAG
+TGAAATTAGTATGGACAATTCACCTAATTTAGCATGGCCTCTTATTGTAACAGCTTTAAGGGCCAATTCTGC
+TGTCAAATTACAGAATAATGAGCTTAGTCCTGTTGCACTACGACAGATGTCTTGTGCTGCCGGTACTACACA
+AACTGCTTGCACTGATGACAATGCGTTAGCTTACTACAACACAACAAAGGGAGGTAGGTTTGTACTTGCACT
+GTTATCCGATTTACAGGATTTGAAATGGGCTAGATTCCCTAAGAGTGATGGAACTGGTACTATCTATACAGA
+ACTGGAACCACCTTGTAGGTTTGTTACAGACACACCTAAAGGTCCTAAAGTGAAGTATTTATACTTTATTAA
+AGGATTAAACAACCTAAATAGAGGTATGGTACTTGGTAGTTTAGCTGCCACAGTACGTCTACAAGCTGGTAA
+TGCAACAGAAGTGCCTGCCAATTCAACTGTATTATCTTTCTGTGCTTTTGCTGTAGATGCTGCTAAAGCTTA
+CAAAGATTATCTAGCTAGTGGGGGACAACCAATCACTAATTGTGTTAAGATGTTGTGTACACACACTGGTAC
+TGGTCAGGCAATAACAGTTACACCGGAAGCCAATATGGATCAAGAATCCTTTGGTGGTGCATCGTGTTGTCT
+GTACTGCCGTTGCCACATAGATCATCCAAATCCTAAAGGATTTTGTGACTTAAAAGGTAAGTATGTACAAAT
+ACCTACAACTTGTGCTAATGACCCTGTGGGTTTTACACTTAAAAACACAGTCTGTACCGTCTGCGGTATGTG
+GAAAGGTTATGGCTGTAGTTGTGATCAACTCCGCGAACCCATGCTTCAGTCAGCTGATGCACAATCGTTTTT
+AAACGGGTTTGCGGTGTAAGTGCAGCCCGTCTTACACCGTGCGGCACAGGCACTAGTACTGATGTCGTATAC
+AGGGCTTTTGACATCTACAATGATAAAGTAGCTGGTTTTGCTAAATTCCTAAAAACTAATTGTTGTCGCTTC
+CAAGAAAAGGACGAAGATGACAATTTAATTGATTCTTACTTTGTAGTTAAGAGACACACTTTCTCTAACTAC
+CAACATGAAGAAACAATTTATAATTTACTTAAGGATTGTCCAGCTGTTGCTAAACATGACTTCTTTAAGTTT
+AGAATAGACGGTGACATGGTACCACATATATCACGTCAACGTCTTACTAAATACACAATGGCAGACCTCGTC
+TATGCTTTAAGGCATTTTGATGAAGGTAATTGTGACACATTAAAAGAAATACTTGTCACATACAATTGTTGT
+GATGATGATTATTTCAATAAAAAGGACTGGTATGATTTTGTAGAAAACCCAGATATATTACGCGTATACGCC
+AACTTAGGTGAACGTGTACGCCAAGCTTTGTTAAAAACAGTACAATTCTGTGATGCCATGCGAAATGCTGGT
+ATTGTTGGTGTACTGACATTAGATAATCAAGATCTCAATGGTAACTGGTATGATTTCGGTGATTTCATACAA
+ACCACGCCAGGTAGTGGAGTTCCTGTTGTAGATTCTTATTATTCATTGTTAATGCCTATATTAACCTTGACC
+AGGGCTTTAACTGCAGAGTCACATGTTGACACTGACTTAACAAAGCCTTACATTAAGTGGGATTTGTTAAAA
+TATGACTTCACGGAAGAGAGGTTAAAACTCTTTGACCGTTATTTTAAATATTGGGATCAGACATACCACCCA
+AATTGTGTTAACTGTTTGGATGACAGATGCATTCTGCATTGTGCAAACTTTAATGTTTTATTCTCTACAGTG
+TTCCCACCTACAAGTTTTGGACCACTAGTGAGAAAAATATTTGTTGATGGTGTTCCATTTGTAGTTTCAACT
+GGATACCACTTCAGAGAGCTAGGTGTTGTACATAATCAGGATGTAAACTTACATAGCTCTAGACTTAGTTTT
+AAGGAATTACTTGTGTATGCTGCTGACCCTGCTATGCACGCTGCTTCTGGTAATCTATTACTAGATAAACGC
+ACTACGTGCTTTTCAGTAGCTGCACTTACTAACAATGTTGCTTTTCAAACTGTCAAACCCGGTAATTTTAAC
+AAAGACTTCTATGACTTTGCTGTGTCTAAGGGTTTCTTTAAGGAAGGAAGTTCTGTTGAATTAAAACACTTC
+TTCTTTGCTCAGGATGGTAATGCTGCTATCAGCGATTATGACTACTATCGTTATAATCTACCAACAATGTGT
+GATATCAGACAACTACTATTTGTAGTTGAAGTTGTTGATAAGTACTTTGATTGTTACGATGGTGGCTGTATT
+AATGCTAACCAAGTCATCGTCAACAACCTAGACAAATCAGCTGGTTTTCCATTTAATAAATGGGGTAAGGCT
+AGACTTTATTATGATTCAATGAGTTATGAGGATCAAGATGCACTTTTCGCATATACAAAACGTAATGTCATC
+CCTACTATAACTCAAATGAATCTTAAGTATGCCATTAGTGCAAAGAATAGAGCTCGCACCGTAGCTGGTGTC
+TCTATCTGTAGTACTATGACCAATAGACAGTTTCATCAAAAATTATTGAAATCAATAGCCGCCACTAGAGGA
+GCTACTGTAGTAATTGGAACAAGCAAATTCTATGGTGGTTGGCACAACATGTTAAAAACTGTTTATAGTGAT
+GTAGAAAACCCTCACCTTATGGGTTGGGATTATCCTAAATGTGATAGAGCCATGCCTAACATGCTTAGAATT
+ATGGCCTCACTTGTTCTTGCTCGCAAACATACAACGTGTTGTAGCTTGTCACACCGTTTCTATAGATTAGCT
+AATGAGTGTGCTCAAGTATTGAGTGAAATGGTCATGTGTGGCGGTTCACTATATGTTAAACCAGGTGGAACC
+TCATCAGGAGATGCCACAACTGCTTATGCTAATAGTGTTTTTAACATTTGTCAAGCTGTCACGGCCAATGTT
+AATGCACTTTTATCTACTGATGGTAACAAAATTGCCGATAAGTATGTCCGCAATTTACAACACAGACTTTAT
+GAGTGTCTCTATAGAAATAGAGATGTTGACACAGACTTTGTGAATGAGTTTTACGCATATTTGCGTAAACAT
+TTCTCAATGATGATACTCTCTGACGATGCTGTTGTGTGTTTCAATAGCACTTATGCATCTCAAGGTCTAGTG
+GCTAGCATAAAGAACTTTAAGTCAGTTCTTTATTATCAAAACAATGTTTTTATGTCTGAAGCAAAATGTTGG
+ACTGAGACTGACCTTACTAAAGGACCTCATGAATTTTGCTCTCAACATACAATGCTAGTTAAACAGGGTGAT
+GATTATGTGTACCTTCCTTACCCAGATCCATCAAGAATCCTAGGGGCCGGCTGTTTTGTAGATGATATCGTA
+AAAACAGATGGTACACTTATGATTGAACGGTTCGTGTCTTTAGCTATAGATGCTTACCCACTTACTAAACAT
+CCTAATCAGGAGTATGCTGATGTCTTTCATTTGTACTTACAATACATAAGAAAGCTACATGATGAGTTAACA
+GGACACATGTTAGACATGTATTCTGTTATGCTTACTAATGATAACACTTCAAGGTATTGGGAACCTGAGTTT
+TATGAGGCTATGTACACACCGCATACAGTCTTACAGGCTGTTGGGGCTTGTGTTCTTTGCAATTCACAGACT
+TCATTAAGATGTGGTGCTTGCATACGTAGACCATTCTTATGTTGTAAATGCTGTTACGACCATGTCATATCA
+ACATCACATAAATTAGTCTTGTCTGTTAATCCGTATGTTTGCAATGCTCCAGGTTGTGATGTCACAGATGTG
+ACTCAACTTTACTTAGGAGGTATGAGCTATTATTGTAAATCACATAAACCACCCATTAGTTTTCCATTGTGT
+GCTAATGGACAAGTTTTTGGTTTATATAAAAATACATGTGTTGGTAGCGATAATGTTACTGACTTTAATGCA
+ATTGCAACATGTGACTGGACAAATGCTGGTGATTACATTTTAGCTAACACCTGTACTGAAAGACTCAAGCTT
+TTTGCAGCAGAAACGCTCAAAGCTACTGAGGAGACATTTAAACTGTCTTATGGTATTGCTACTGTACGTGAA
+GTGCTGTCTGACAGAGAATTACATCTTTCATGGGAAGTTGGTAAACCTAGACCACCACTTAACCGAAATTAT
+GTCTTTACTGGTTATCGTGTAACTAAAAACAGTAAAGTACAAATAGGAGAGTACACCTTTGAAAAAGGTGAC
+TATGGTGATGCTGTTGTTTACCGAGGTACAACAACTTACAAATTAAATGTTGGTGATTATTTTGTGCTGACA
+TCACATACAGTAATGCCATTAAGTGCACCTACACTAGTGCCACAAGAGCACTATGTTAGAATTACTGGCTTA
+TACCCAACACTCAATATCTCAGATGAGTTTTCTAGCAATGTTGCAAATTATCAAAAGGTTGGTATGCAAAAG
+TATTCTACACTCCAGGGACCACCTGGTACTGGTAAGAGTCATTTTGCTATTGGCCTAGCTCTCTACTACCCT
+TCTGCTCGCATAGTGTATACAGCTTGCTCTCATGCCGCTGTTGATGCACTATGTGAGAAGGCATTAAAATAT
+TTGCCTATAGATAAATGTAGTAGAATTATACCTGCACGTGCTCGTGTAGAGTGTTTTGATAAATTCAAAGTG
+AATTCAACATTAGAACAGTATGTCTTTTGTACTGTAAATGCATTGCCTGAGACGACAGCAGATATAGTTGTC
+TTTGATGAAATTTCAATGGCCACAAATTATGATTTGAGTGTTGTCAATGCCAGATTACGTGCTAAGCACTAT
+GTGTACATTGGCGACCCTGCTCAATTACCTGCACCACGCACATTGCTAACTAAGGGCACACTAGAACCAGAA
+TATTTCAATTCAGTGTGTAGACTTATGAAAACTATAGGTCCAGACATGTTCCTCGGAACTTGTCGGCGTTGT
+CCTGCTGAAATTGTTGACACTGTGAGTGCTTTGGTTTATGATAATAAGCTTAAAGCACATAAAGACAAATCA
+GCTCAATGCTTTAAAATGTTTTATAAGGGTGTTATCACGCATGATGTTTCATCTGCAATTAACAGGCCACAA
+ATAGGCGTGGTAAGAGAATTCCTTACACGTAACCCTGCTTGGAGAAAAGCTGTCTTTATTTCACCTTATAAT
+TCACAGAATGCTGTAGCCTCAAAGATTTTGGGACTACCAACTCAAACTGTTGATTCATCACAGGGCTCAGAA
+TATGACTATGTCATATTCACTCAAACCACTGAAACAGCTCACTCTTGTAATGTAAACAGATTTAATGTTGCT
+ATTACCAGAGCAAAAGTAGGCATACTTTGCATAATGTCTGATAGAGACCTTTATGACAAGTTGCAATTTACA
+AGTCTTGAAATTCCACGTAGGAATGTGGCAACTTTACAAGCTGAAAATGTAACAGGACTCTTTAAAGATTGT
+AGTAAGGTAATCACTGGGTTACATCCTACACAGGCACCTACACACCTCAGTGTTGACACTAAATTCAAAACT
+GAAGGTTTATGTGTTGACATACCTGGCATACCTAAGGACATGACCTATAGAAGACTCATCTCTATGATGGGT
+TTTAAAATGAATTATCAAGTTAATGGTTACCCTAACATGTTTATCACCCGCGAAGAAGCTATAAGACATGTA
+CGTGCATGGATTGGCTTCGATGTCGAGGGGTGTCATGCTACTAGAGAAGCTGTTGGTACCAATTTACCTTTA
+CAGCTAGGTTTTTCTACAGGTGTTAACCTAGTTGCTGTACCTACAGGTTATGTTGATACACCTAATAATACA
+GATTTTTCCAGAGTTAGTGCTAAACCACCGCCTGGAGATCAATTTAAACACCTCATACCACTTATGTACAAA
+GGACTTCCTTGGAATGTAGTGCGTATAAAGATTGTACAAATGTTAAGTGACACACTTAAAAATCTCTCTGAC
+AGAGTCGTATTTGTCTTATGGGCACATGGCTTTGAGTTGACATCTATGAAGTATTTTGTGAAAATAGGACCT
+GAGCGCACCTGTTGTCTATGTGATAGACGTGCCACATGCTTTTCCACTGCTTCAGACACTTATGCCTGTTGG
+CATCATTCTATTGGATTTGATTACGTCTATAATCCGTTTATGATTGATGTTCAACAATGGGGTTTTACAGGT
+AACCTACAAAGCAACCATGATCTGTATTGTCAAGTCCATGGTAATGCACATGTAGCTAGTTGTGATGCAATC
+ATGACTAGGTGTCTAGCTGTCCACGAGTGCTTTGTTAAGCGTGTTGACTGGACTATTGAATATCCTATAATT
+GGTGATGAACTGAAGATTAATGCGGCTTGTAGAAAGGTTCAACACATGGTTGTTAAAGCTGCATTATTAGCA
+GACAAATTCCCAGTTCTTCACGACATTGGTAACCCTAAAGCTATTAAGTGTGTACCTCAAGCTGATGTAGAA
+TGGAAGTTCTATGATGCACAGCCTTGTAGTGACAAAGCTTATAAAATAGAAGAATTATTCTATTCTTATGCC
+ACACATTCTGACAAATTCACAGATGGTGTATGCCTATTTTGGAATTGCAATGTCGATAGATATCCTGCTAAT
+TCCATTGTTTGTAGATTTGACACTAGAGTGCTATCTAACCTTAACTTGCCTGGTTGTGATGGTGGCAGTTTG
+TATGTAAATAAACATGCATTCCACACACCAGCTTTTGATAAAAGTGCTTTTGTTAATTTAAAACAATTACCA
+TTTTTCTATTACTCTGACAGTCCATGTGAGTCTCATGGAAAACAAGTAGTGTCAGATATAGATTATGTACCA
+CTAAAGTCTGCTACGTGTATAACACGTTGCAATTTAGGTGGTGCTGTCTGTAGACATCATGCTAATGAGTAC
+AGATTGTATCTCGATGCTTATAACATGATGATCTCAGCTGGCTTTAGCTTGTGGGTTTACAAACAATTTGAT
+ACTTATAACCTCTGGAACACTTTTACAAGACTTCAGAGTTTAGAAAATGTGGCTTTTAATGTTGTAAATAAG
+GGACACTTTGATGGACAACAGGGTGAAGTACCAGTTTCTATCATTAATAACACTGTTTACACAAAAGTTGAT
+GGTGTTGATGTAGAATTGTTTGAAAATAAAACAACATTACCTGTTAATGTAGCATTTGAGCTTTGGGCTAAG
+CGCAACATTAAACCAGTACCAGAGGTGAAAATACTCAATAATTTGGGTGTGGACATTGCTGCTAATACTGTG
+ATCTGGGACTACAAAAGAGATGCTCCAGCACATATATCTACTATTGGTGTTTGTTCTATGACTGACATAGCC
+AAGAAACCAACTGAAACGATTTGTGCACCACTCACTGTCTTTTTTGATGGTAGAGTTGATGGTCAAGTAGAC
+TTATTTAGAAATGCCCGTAATGGTGTTCTTATTACAGAAGGTAGTGTTAAAGGTTTACAACCATCTGTAGGT
+CCCAAACAAGCTAGTCTTAATGGAGTCACATTAATTGGAGAAGCCGTAAAAACACAGTTCAATTATTATAAG
+AAAGTTGATGGTGTTGTCCAACAATTACCTGAAACTTACTTTACTCAGAGTAGAAATTTACAAGAATTTAAA
+CCCAGGAGTCAAATGGAAATTGATTTCTTAGAATTAGCTATGGATGAATTCATTGAACGGTATAAATTAGAA
+GGCTATGCCTTCGAACATATCGTTTATGGAGATTTTAGTCATAGTCAGTTAGGTGGTTTACATCTACTGATT
+GGACTAGCTAAACGTTTTAAGGAATCACCTTTTGAATTAGAAGATTTTATTCCTATGGACAGTACAGTTAAA
+AACTATTTCATAACAGATGCGCAAACAGGTTCATCTAAGTGTGTGTGTTCTGTTATTGATTTATTACTTGAT
+GATTTTGTTGAAATAATAAAATCCCAAGATTTATCTGTAGTTTCTAAGGTTGTCAAAGTGACTATTGACTAT
+ACAGAAATTTCATTTATGCTTTGGTGTAAAGATGGCCATGTAGAAACATTTTACCCAAAATTACAATCTAGT
+CAAGCGTGGCAACCGGGTGTTGCTATGCCTAATCTTTACAAAATGCAAAGAATGCTATTAGAAAAGTGTGAC
+CTTCAAAATTATGGTGATAGTGCAACATTACCTAAAGGCATAATGATGAATGTCGCAAAATATACTCAACTG
+TGTCAATATTTAAACACATTAACATTAGCTGTACCCTATAATATGAGAGTTATACATTTTGGTGCTGGTTCT
+GATAAAGGAGTTGCACCAGGTACAGCTGTTTTAAGACAGTGGTTGCCTACGGGTACGCTGCTTGTCGATTCA
+GATCTTAATGACTTTGTCTCTGATGCAGATTCAACTTTGATTGGTGATTGTGCAACTGTACATACAGCTAAT
+AAATGGGATCTCATTATTAGTGATATGTACGACCCTAAGACTAAAAATGTTACAAAAGAAAATGACTCTAAA
+GAGGGTTTTTTCACTTACATTTGTGGGTTTATACAACAAAAGCTAGCTCTTGGAGGTTCCGTGGCTATAAAG
+ATAACAGAACATTCTTGGAATGCTGATCTTTATAAGCTCATGGGACACTTCGCATGGTGGACAGCCTTTGTT
+ACTAATGTGAATGCGTCATCATCTGAAGCATTTTTAATTGGATGTAATTATCTTGGCAAACCACGCGAACAA
+ATAGATGGTTATGTCATGCATGCAAATTACATATTTTGGAGGAATACAAATCCAATTCAGTTGTCTTCCTAT
+TCTTTATTTGACATGAGTAAATTTCCCCTTAAATTAAGGGGTACTGCTGTTATGTCTTTAAAAGAAGGTCAA
+ATCAATGATATGATTTTATCTCTTCTTAGTAAAGGTAGACTTATAATTAGAGAAAACAACAGAGTTGTTATT
+TCTAGTGATGTTCTTGTTAACAACTAAACGAACAATGTTTGTTTTTCTTGTTTTATTGCCACTAGTCTCTAG
+TCAGTGTGTTAATCTTACAACCAGAACTCAATTACCCCCTGCATACACTAATTCTTTCACACGTGGTGTTTA
+TTACCCTGACAAAGTTTTCAGATCCTCAGTTTTACATTCAACTCAGGACTTGTTCTTACCTTTCTTTTCCAA
+TGTTACTTGGTTCCATGCTATACATGTCTCTGGGACCAATGGTACTAAGAGGTTTGATAACCCTGTCCTACC
+ATTTAATGATGGTGTTTATTTTGCTTCCACTGAGAAGTCTAACATAATAAGAGGCTGGATTTTTGGTACTAC
+TTTAGATTCGAAGACCCAGTCCCTACTTATTGTTAATAACGCTACTAATGTTGTTATTAAAGTCTGTGAATT
+TCAATTTTGTAATGATCCATTTTTGGGTGTTTATTACCACAAAAACAACAAAAGTTGGATGGAAAGTGAGTT
+CAGAGTTTATTCTAGTGCGAATAATTGCACTTTTGAATATGTCTCTCAGCCTTTTCTTATGGACCTTGAAGG
+AAAACAGGGTAATTTCAAAAATCTTAGGGAATTTGTGTTTAAGAATATTGATGGTTATTTTAAAATATATTC
+TAAGCACACGCCTATTAATTTAGTGCGTGATCTCCCTCAGGGTTTTTCGGCTTTAGAACCATTGGTAGATTT
+GCCAATAGGTATTAACATCACTAGGTTTCAAACTTTACTTGCTTTACATAGAAGTTATTTGACTCCTGGTGA
+TTCTTCTTCAGGTTGGACAGCTGGTGCTGCAGCTTATTATGTGGGTTATCTTCAACCTAGGACTTTTCTATT
+AAAATATAATGAAAATGGAACCATTACAGATGCTGTAGACTGTGCACTTGACCCTCTCTCAGAAACAAAGTG
+TACGTTGAAATCCTTCACTGTAGAAAAAGGAATCTATCAAACTTCTAACTTTAGAGTCCAACCAACAGAATC
+TATTGTTAGATTTCCTAATATTACAAACTTGTGCCCTTTTGGTGAAGTTTTTAACGCCACCAGATTTGCATC
+TGTTTATGCTTGGAACAGGAAGAGAATCAGCAACTGTGTTGCTGATTATTCTGTCCTATATAATTCCGCATC
+ATTTTCCACTTTTAAGTGTTATGGAGTGTCTCCTACTAAATTAAATGATCTCTGCTTTACTAATGTCTATGC
+AGATTCATTTGTAATTAGAGGTGATGAAGTCAGACAAATCGCTCCAGGGCAAACTGGAAAGATTGCTGATTA
+TAATTATAAATTACCAGATGATTTTACAGGCTGCGTTATAGCTTGGAATTCTAACAATCTTGATTCTAAGGT
+TGGTGGTAATTATAATTACCTGTATAGATTGTTTAGGAAGTCTAATCTCAAACCTTTTGAGAGAGATATTTC
+AACTGAAATCTATCAGGCCGGTAGCACACCTTGTAATGGTGTTGAAGGTTTTAATTGTTACTTTCCTTTACA
+ATCATATGGTTTCCAACCCACTAATGGTGTTGGTTACCAACCATACAGAGTAGTAGTACTTTCTTTTGAACT
+TCTACATGCACCAGCAACTGTTTGTGGACCTAAAAAGTCTACTAATTTGGTTAAAAACAAATGTGTCAATTT
+CAACTTCAATGGTTTAACAGGCACAGGTGTTCTTACTGAGTCTAACAAAAAGTTTCTGCCTTTCCAACAATT
+TGGCAGAGACATTGCTGACACTACTGATGCTGTCCGTGATCCACAGACACTTGAGATTCTTGACATTACACC
+ATGTTCTTTTGGTGGTGTCAGTGTTATAACACCAGGAACAAATACTTCTAACCAGGTTGCTGTTCTTTATCA
+GGATGTTAACTGCACAGAAGTCCCTGTTGCTATTCATGCAGATCAACTTACTCCTACTTGGCGTGTTTATTC
+TACAGGTTCTAATGTTTTTCAAACACGTGCAGGCTGTTTAATAGGGGCTGAACATGTCAACAACTCATATGA
+GTGTGACATACCCATTGGTGCAGGTATATGCGCTAGTTATCAGACTCAGACTAATTCTCCTCGGCGGGCACG
+TAGTGTAGCTAGTCAATCCATCATTGCCTACACTATGTCACTTGGTGCAGAAAATTCAGTTGCTTACTCTAA
+TAACTCTATTGCCATACCCACAAATTTTACTATTAGTGTTACCACAGAAATTCTACCAGTGTCTATGACCAA
+GACATCAGTAGATTGTACAATGTACATTTGTGGTGATTCAACTGAATGCAGCAATCTTTTGTTGCAATATGG
+CAGTTTTTGTACACAATTAAACCGTGCTTTAACTGGAATAGCTGTTGAACAAGACAAAAACACCCAAGAAGT
+TTTTGCACAAGTCAAACAAATTTACAAAACACCACCAATTAAAGATTTTGGTGGTTTTAATTTTTCACAAAT
+ATTACCAGATCCATCAAAACCAAGCAAGAGGTCATTTATTGAAGATCTACTTTTCAACAAAGTGACACTTGC
+AGATGCTGGCTTCATCAAACAATATGGTGATTGCCTTGGTGATATTGCTGCTAGAGACCTCATTTGTGCACA
+AAAGTTTAACGGCCTTACTGTTTTGCCACCTTTGCTCACAGATGAAATGATTGCTCAATACACTTCTGCACT
+GTTAGCGGGTACAATCACTTCTGGTTGGACCTTTGGTGCAGGTGCTGCATTACAAATACCATTTGCTATGCA
+AATGGCTTATAGGTTTAATGGTATTGGAGTTACACAGAATGTTCTCTATGAGAACCAAAAATTGATTGCCAA
+CCAATTTAATAGTGCTATTGGCAAAATTCAAGACTCACTTTCTTCCACAGCAAGTGCACTTGGAAAACTTCA
+AGATGTGGTCAACCAAAATGCACAAGCTTTAAACACGCTTGTTAAACAACTTAGCTCCAATTTTGGTGCAAT
+TTCAAGTGTTTTAAATGATATCCTTTCACGTCTTGACAAAGTTGAGGCTGAAGTGCAAATTGATAGGTTGAT
+CACAGGCAGACTTCAAAGTTTGCAGACATATGTGACTCAACAATTAATTAGAGCTGCAGAAATCAGAGCTTC
+TGCTAATCTTGCTGCTACTAAAATGTCAGAGTGTGTACTTGGACAATCAAAAAGAGTTGATTTTTGTGGAAA
+GGGCTATCATCTTATGTCCTTCCCTCAGTCAGCACCTCATGGTGTAGTCTTCTTGCATGTGACTTATGTCCC
+TGCACAAGAAAAGAACTTCACAACTGCTCCTGCCATTTGTCATGATGGAAAAGCACACTTTCCTCGTGAAGG
+TGTCTTTGTTTCAAATGGCACACACTGGTTTGTAACACAAAGGAATTTTTATGAACCACAAATCATTACTAC
+AGACAACACATTTGTGTCTGGTAACTGTGATGTTGTAATAGGAATTGTCAACAACACAGTTTATGATCCTTT
+GCAACCTGAATTAGACTCATTCAAGGAGGAGTTAGATAAATATTTTAAGAATCATACATCACCAGATGTTGA
+TTTAGGTGACATCTCTGGCATTAATGCTTCAGTTGTAAACATTCAAAAAGAAATTGACCGCCTCAATGAGGT
+TGCCAAGAATTTAAATGAATCTCTCATCGATCTCCAAGAACTTGGAAAGTATGAGCAGTATATAAAATGGCC
+ATGGTACATTTGGCTAGGTTTTATAGCTGGCTTGATTGCCATAGTAATGGTGACAATTATGCTTTGCTGTAT
+GACCAGTTGCTGTAGTTGTCTCAAGGGCTGTTGTTCTTGTGGATCCTGCTGCAAATTTGATGAAGACGACTC
+TGAGCCAGTGCTCAAAGGAGTCAAATTACATTACACATAAACGAACTTATGGATTTGTTTATGAGAATCTTC
+ACAATTGGAACTGTAACTTTGAAGCAAGGTGAAATCAAGGATGCTACTCCTTCAGATTTTGTTCGCGCTACT
+GCAACGATACCGATACAAGCCTCACTCCCTTTCGGATGGCTTATTGTTGGCGTTGCACTTCTTGCTGTTTTT
+CAGAGCGCTTCCAAAATCATAACCCTCAAAAAGAGATGGCAACTAGCACTCTCCAAGGGTGTTCACTTTGTT
+TGCAACTTGCTGTTGTTGTTTGTAACAGTTTACTCACACCTTTTGCTCGTTGCTGCTGGCCTTGAAGCCCCT
+TTTCTCTATCTTTATGCTTTAGTCTACTTCTTGCAGAGTATAAACTTTGTAAGAATAATAATGAGGCTTTGG
+CTTTGCTGGAAATGCCGTTCCAAAAACCCATTACTTTATGATGCCAACTATTTTCTTTGCTGGCATACTAAT
+TGTTACGACTATTGTATACCTTACAATAGTGTAACTTCTTCAATTGTCATTACTTCAGGTGATGGCACAACA
+AGTCCTATTTCTGAACATGACTACCAGATTGGTGGTTATACTGAAAAATGGGAATCTGGAGTAAAAGACTGT
+GTTGTATTACACAGTTACTTCACTTCAGACTATTACCAGCTGTACTCAACTCAATTGAGTACAGACACTGGT
+GTTGAACATGTTACCTTCTTCATCTACAATAAAATTGTTGATGAGCCTGAAGAACATGTCCAAATTCACACA
+ATCGACGGTTCATCCGGAGTTGTTAATCCAGTAATGGAACCAATTTATGATGAACCGACGACGACTACTAGC
+GTGCCTTTGTAAGCACAAGCTGATGAGTACGAACTTATGTACTCATTCGTTTCGGAAGAGACAGGTACGTTA
+ATAGTTAATAGCGTACTTCTTTTTCTTGCTTTCGTGGTATTCTTGCTAGTTACACTAGCCATCCTTACTGCG
+CTTCGATTGTGTGCGTACTGCTGCAATATTGTTAACGTGAGTCTTGTAAAACCTTCTTTTTACGTTTACTCT
+CGTGTTAAAAATCTGAATTCTTCTAGAGTTCCTGATCTTCTGGTCTAAACGAACTAAATATTATATTAGTTT
+TTCTGTTTGGAACTTTAATTTTAGCCATGGCAGATTCCAACGGTACTATTACCGTTGAAGAGCTTAAAAAGC
+TCCTTGAACAATGGAACCTAGTAATAGGTTTCCTATTCCTTACATGGATTTGTCTTCTACAATTTGCCTATG
+CCAACAGGAATAGGTTTTTGTATATAATTAAGTTAATTTTCCTCTGGCTGTTATGGCCAGTAACTTTAGCTT
+GTTTTGTGCTTGCTGCTGTTTACAGAATAAATTGGATCACCGGTGGAATTGCTATCGCAATGGCTTGTCTTG
+TAGGCTTGATGTGGCTCAGCTACTTCATTGCTTCTTTCAGACTGTTTGCGCGTACGCGTTCCATGTGGTCAT
+TCAATCCAGAAACTAACATTCTTCTCAACGTGCCACTCCATGGCACTATTCTGACCAGACCGCTTCTAGAAA
+GTGAACTCGTAATCGGAGCTGTGATCCTTCGTGGACATCTTCGTATTGCTGGACACCATCTAGGACGCTGTG
+ACATCAAGGACCTGCCTAAAGAAATCACTGTTGCTACATCACGAACGCTTTCTTATTACAAATTGGGAGCTT
+CGCAGCGTGTAGCAGGTGACTCAGGTTTTGCTGCATACAGTCGCTACAGGATTGGCAACTATAAATTAAACA
+CAGACCATTCCAGTAGCAGTGACAATATTGCTTTGCTTGTACAGTAAGTGACAACAGATGTTTCATCTCGTT
+GACTTTCAGGTTACTATAGCAGAGATATTACTAATTATTATGAGGACTTTTAAAGTTTCCATTTGGAATCTT
+GATTACATCATAAACCTCATAATTAAAAATTTATCTAAGTCACTAACTGAGAATAAATATTCTCAATTAGAT
+GAAGAGCAACCAATGGAGATTGATTAAACGAACATGAAAATTATTCTTTTCTTGGCACTGATAACACTCGCT
+ACTTGTGAGCTTTATCACTACCAAGAGTGTGTTAGAGGTACAACAGTACTTTTAAAAGAACCTTGCTCTTCT
+GGAACATACGAGGGCAATTCACCATTTCATCCTCTAGCTGATAACAAATTTGCACTGACTTGCTTTAGCACT
+CAATTTGCTTTTGCTTGTCCTGACGGCGTAAAACACGTCTATCAGTTACGTGCCAGATCAGTTTCACCTAAA
+CTGTTCATCAGACAAGAGGAAGTTCAAGAACTTTACTCTCCAATTTTTCTTATTGTTGCGGCAATAGTGTTT
+ATAACACTTTGCTTCACACTCAAAAGAAAGACAGAATGATTGAACTTTCATTAATTGACTTCTATTTGTGCT
+TTTTAGCCTTTCTGCTATTCCTTGTTTTAATTATGCTTATTATCTTTTGGTTCTCACTTGAACTGCAAGATC
+ATAATGAAACTTGTCACGCCTAAACGAACATGAAATTTCTTGTTTTCTTAGGAATCATCACAACTGTAGCTG
+CATTTCACCAAGAATGTAGTTTACAGTCATGTACTCAACATCAACCATATGTAGTTGATGACCCGTGTCCTA
+TTCACTTCTATTCTAAATGGTATATTAGAGTAGGAGCTAGAAAATCAGCACCTTTAATTGAATTGTGCGTGG
+ATGAGGCTGGTTCTAAATCACCCATTCAGTACATCGATATCGGTAATTATACAGTTTCCTGTTCACCTTTTA
+CAATTAATTGCCAGGAACCTAAATTGGGTAGTCTTGTAGTGCGTTGTTCGTTCTATGAAGACTTTTTAGAGT
+ATCATGACGTTCGTGTTGTTTTAGATTTCATCTAAACGAACAAACTAAAATGTCTGATAATGGACCCCAAAA
+TCAGCGAAATGCACCCCGCATTACGTTTGGTGGACCCTCAGATTCAACTGGCAGTAACCAGAATGGAGAACG
+CAGTGGGGCGCGATCAAAACAACGTCGGCCCCAAGGTTTACCCAATAATACTGCGTCTTGGTTCACCGCTCT
+CACTCAACATGGCAAGGAAGACCTTAAATTCCCTCGAGGACAAGGCGTTCCAATTAACACCAATAGCAGTCC
+AGATGACCAAATTGGCTACTACCGAAGAGCTACCAGACGAATTCGTGGTGGTGACGGTAAAATGAAAGATCT
+CAGTCCAAGATGGTATTTCTACTACCTAGGAACTGGGCCAGAAGCTGGACTTCCCTATGGTGCTAACAAAGA
+CGGCATCATATGGGTTGCAACTGAGGGAGCCTTGAATACACCAAAAGATCACATTGGCACCCGCAATCCTGC
+TAACAATGCTGCAATCGTGCTACAACTTCCTCAAGGAACAACATTGCCAAAAGGCTTCTACGCAGAAGGGAG
+CAGAGGCGGCAGTCAAGCCTCTTCTCGTTCCTCATCACGTAGTCGCAACAGTTCAAGAAATTCAACTCCAGG
+CAGCAGTAGGGGAACTTCTCCTGCTAGAATGGCTGGCAATGGCGGTGATGCTGCTCTTGCTTTGCTGCTGCT
+TGACAGATTGAACCAGCTTGAGAGCAAAATGTCTGGTAAAGGCCAACAACAACAAGGCCAAACTGTCACTAA
+GAAATCTGCTGCTGAGGCTTCTAAGAAGCCTCGGCAAAAACGTACTGCCACTAAAGCATACAATGTAACACA
+AGCTTTCGGCAGACGTGGTCCAGAACAAACCCAAGGAAATTTTGGGGACCAGGAACTAATCAGACAAGGAAC
+TGATTACAAACATTGGCCGCAAATTGCACAATTTGCCCCCAGCGCTTCAGCGTTCTTCGGAATGTCGCGCAT
+TGGCATGGAAGTCACACCTTCGGGAACGTGGTTGACCTACACAGGTGCCATCAAATTGGATGACAAAGATCC
+AAATTTCAAAGATCAAGTCATTTTGCTGAATAAGCATATTGACGCATACAAAACATTCCCACCAACAGAGCC
+TAAAAAGGACAAAAAGAAGAAGGCTGATGAAACTCAAGCCTTACCGCAGAGACAGAAGAAACAGCAAACTGT
+GACTCTTCTTCCTGCTGCAGATTTGGATGATTTCTCCAAACAATTGCAACAATCCATGAGCAGTGCTGACTC
+AACTCAGGCCTAAACTCATGCAGACCACACAAGGCAGATGGGCTATATAAACGTTTTCGCTTTTCCGTTTAC
+GATATATAGTCTACTCTTGTGCAGAATGAATTCTCGTAACTACATAGCACAAGTAGATGTAGTTAACTTTAA
+TCTCACATAGCAATCTTTAATCAGTGTGTAACATTAGGGAGGACTTGAAAGAGCCACCACATTTTCACCGAG
+GCCACGCGGAGTACGATCGAGTGTACAGTGAACAATGCTAGGGAGAGCTGCCTATATGGAAGAGCCCTAATG
+TGTAAAATTAATTTTAGTAGTGCTATCCCCATGTGATTTTAATAGCTTCTTAGGAGAATGACAAAAAAAAAA
+AAAAAAAAAAAAAAAAAAAAAAA
diff -r 000000000000 -r 557cf45ff2c8 test-data/sample1.tsv
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/sample1.tsv	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,236 @@
+#f30a0489-ec1e-4f6e-829e-fa6d16dbee2e	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00664	0.0	0.0	124.18560791015625	122.90550231933594	20
+22102	GGAAA	2	0.00564	0.0	0.0	127.36959838867188	130.8000030517578	17
+#e924b30f-22dc-4156-8e5c-ba664abbe7a7	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.0073	0.0	0.0	118.83446502685547	119.46699523925781	22
+22102	GGAAA	2	0.0249	0.0	0.0	124.0261459350586	123.86900329589844	75
+#d4988330-6f34-498a-b1e3-6574d8b3dae2	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.020249999999999997	0.0	0.0	118.07210540771484	119.5469970703125	61
+22102	GGAAA	1	0.00531	0.0	0.0	125.96463012695312	129.28799438476562	16
+#0f8c0aae-a5ce-47ae-af66-a762f44a9d3a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	4	0.02025	0.0	0.0	115.89058685302734	116.44599914550781	61
+22102	GGAAA	5	0.032529999999999996	0.0	0.0	123.7591552734375	123.37649536132812	98
+#43000cf1-c697-4e0b-8414-5aed3db85976	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00863	0.0	0.0	115.45061492919922	115.2125015258789	26
+22102	GGAAA	5	0.03153	0.0	0.0	123.54806518554688	124.41400146484375	95
+#1a0779f0-4d51-4400-8b0e-29363ea9aa91	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00332	0.0	0.0	121.51219177246094	122.51849365234375	10
+22102	GGAAA	1	0.00664	0.0	0.0	127.57340240478516	126.875	20
+#85462d40-9227-4f0a-ad25-c4c5abb6b7e6	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00232	0.0	0.0	118.0605697631836	117.97699737548828	7
+22102	GGAAA	3	0.01792	0.0	0.0	125.30520629882812	124.95249938964844	54
+#5bf2cef1-ec1f-4b1f-bf9f-e79dccb33836	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.01129	0.0	0.0	123.4063491821289	123.86349487304688	34
+22102	GGAAA	6	0.03785	0.0	0.0	127.39415740966797	127.95649719238281	114
+#db70549e-4650-4e64-904d-7929f4701b4d	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00896	0.0	0.0	113.59844970703125	113.57099914550781	27
+22102	GGAAA	2	0.02922	0.0	0.0	123.96391296386719	123.3489990234375	88
+#34c8247e-6fbd-4a8c-a17e-8c740d3bfb08	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	3	0.02623	0.0	0.0	116.989013671875	117.33599853515625	79
+22102	GGAAA	4	0.05378	0.0	0.0	128.04013061523438	128.47850036621094	162
+#0eb8f174-1680-41ca-a098-b762e6ee7b76	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.017589999999999998	0.0	0.0	121.86357879638672	121.02200317382812	53
+22102	GGAAA	5	0.030549999999999997	0.0	0.0	120.92530059814453	122.95249938964844	92
+#77489463-5e96-43b5-ba97-aad51f918336	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	3	0.01726	0.0	0.0	115.67981719970703	115.3905029296875	52
+22102	GGAAA	7	0.04051	0.0	0.0	125.22063446044922	126.13650512695312	122
+#4e6ece57-2cb1-4f12-8410-ae9696be4e43	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.01494	0.0	0.0	118.05428314208984	119.79900360107422	45
+22102	GGAAA	3	0.01594	0.00299	0.0	122.89998626708984	121.07949829101562	48
+#578c1cbf-e9c0-47b0-b5ad-eeeec8cacaa2	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00232	0.0	0.0	112.2434310913086	111.82099914550781	7
+22102	GGAAA	5	0.02323	0.0	0.0	124.31827545166016	124.66299438476562	70
+#ff72f771-8174-4950-9ede-40ffb052d044	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.0249	0.0	0.0	125.5434799194336	125.35199737548828	75
+22102	GGAAA	1	0.00299	0.0	0.0	123.20488739013672	123.60900115966797	9
+#97b0f9b2-48c6-4928-b366-b1e7b8721271	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00697	0.0	0.0	110.35895538330078	110.57499694824219	21
+22102	GGAAA	1	0.01959	0.0	0.0	123.4191665649414	123.74299621582031	59
+#136f4584-fa85-47b5-965d-2bc88fa15e4a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00531	0.0	0.0	124.88868713378906	124.70849609375	16
+22102	GGAAA	3	0.027880000000000002	0.0	0.0	125.20147705078125	126.15149688720703	84
+#8a7c1cbe-453b-44a4-82aa-ad2305025760	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00664	0.0	0.0	124.76188659667969	126.17649841308594	20
+22102	GGAAA	3	0.02225	0.0	0.0	124.54386138916016	125.24800109863281	67
+#a77db53e-9553-4045-858a-9953b6a42523	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00465	0.0	0.0	119.87113952636719	118.6865005493164	14
+22102	GGAAA	1	0.01926	0.0	0.0	124.49884796142578	124.62000274658203	58
+#085929b9-c69c-4245-99dc-de3e01b24557	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.01593	0.0	0.0	119.85005950927734	119.84649658203125	48
+22102	GGAAA	6	0.037169999999999995	0.0	0.0	123.7125473022461	125.9010009765625	112
+#b03e37d7-1199-43e4-ad8e-90d5f65484ba	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.01793	0.0	0.0	121.78507232666016	122.52549743652344	54
+22102	GGAAA	4	0.02224	0.0	0.0	122.82258605957031	125.08599853515625	67
+#66e23a5c-4fde-4b66-9b25-ff5bade5ebf6	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.0093	0.0	0.0	126.21585845947266	126.08549499511719	28
+22102	GGAAA	3	0.027889999999999998	0.0	0.0	123.52474212646484	123.28099822998047	84
+#7931a9dc-02fd-4dfd-a8e1-92d6fe1a2e9a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00664	0.0	0.0	118.2801513671875	118.9739990234375	20
+22102	GGAAA	1	0.00332	0.0	0.0	129.04949951171875	130.56199645996094	10
+#679e2499-ffd9-4d91-bd03-5fa5228fb2b0	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.01062	0.0	0.0	110.985595703125	111.28700256347656	32
+22102	GGAAA	1	0.00232	0.0	0.0	113.77471160888672	114.50599670410156	7
+#d6e01353-c2f7-4051-b49d-b77f23df84db	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00697	0.0	0.0	115.85037994384766	113.0459976196289	21
+22102	GGAAA	5	0.0508	0.0	0.0	122.7002944946289	123.38300323486328	153
+#593e8df7-d17f-45dc-97e9-7dd9f17eccc5	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.01029	0.0	0.0	117.29468536376953	117.91200256347656	31
+22102	GGAAA	5	0.06407	0.0	0.0	124.26748657226562	123.34200286865234	193
+#6781c476-1d7d-424f-be2f-7272f2293816	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.0073	0.0	0.0	121.75825500488281	123.20500183105469	22
+22102	GGAAA	1	0.00863	0.0	0.0	125.20330047607422	125.80999755859375	26
+#24561b20-06f9-4395-bb5d-06df8c7af304	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00697	0.0	0.0	124.23766326904297	124.52899932861328	21
+22102	GGAAA	2	0.00896	0.0	0.0	120.3904800415039	120.44999694824219	27
+#dc6b006e-8002-4f07-8ec5-e5256be95278	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00199	0.0	0.0	113.41716766357422	113.08300018310547	6
+22102	GGAAA	1	0.00697	0.0	0.0	110.49089813232422	111.22100067138672	21
+#79f6a527-ae56-4f0c-9374-80ec5312d014	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00299	0.0	0.0	114.39022064208984	115.25900268554688	9
+22102	GGAAA	1	0.02025	0.0	0.0	123.9005126953125	123.66100311279297	61
+#da09104c-079f-4258-8c19-7c9d5cc89538	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00764	0.0	0.0	118.37809753417969	115.08300018310547	23
+22102	GGAAA	2	0.01792	0.0	0.0	118.81961059570312	112.66899871826172	54
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+22101	AGGAA	3	0.01129	0.0	0.0	120.01493835449219	119.44950103759766	34
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+22101	AGGAA	1	0.00232	0.0	0.0	120.32000732421875	120.10199737548828	7
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+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00332	0.0	0.0	124.25199127197266	125.18699645996094	10
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+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.00731	0.0	0.0	119.68036651611328	120.87349700927734	22
+22102	GGAAA	1	0.01029	0.0	0.0	121.55876922607422	121.3010025024414	31
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+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	3	0.01892	0.0	0.0	120.60784149169922	120.17900085449219	57
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+#501e4486-c0c2-4d1f-938b-af2449132fb0	chr
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+22101	AGGAA	1	0.00498	0.0	0.0	122.9534683227539	122.7490005493164	15
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+22101	AGGAA	1	0.01494	0.0	0.0	121.48255920410156	120.88600158691406	45
+22102	GGAAA	8	0.05246	0.0	0.0	124.7437973022461	125.19549560546875	158
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+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00896	0.0	0.0	119.70619201660156	120.0780029296875	27
+22102	GGAAA	1	0.00232	0.0	0.0	129.27142333984375	128.3769989013672	7
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+22101	AGGAA	3	0.00863	0.0	0.0	119.27664947509766	119.33699798583984	26
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+22101	AGGAA	3	0.02357	0.0	0.0	115.24366760253906	115.1719970703125	71
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+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	4	0.023239999999999997	0.0	0.0	114.12039947509766	113.22699737548828	70
+22102	GGAAA	4	0.05013	0.0	0.0	123.6082763671875	123.87899780273438	151
+#6b779e7d-26fb-4863-9082-04068823a29d	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+#e8da2741-03f5-416a-a7f0-96250a49ddd6	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	3	0.02358	0.0	0.0	122.79644775390625	122.7229995727539	71
+22102	GGAAA	9	0.04183	0.0	0.0	123.63143920898438	124.23600006103516	126
+#484f63e8-a501-4edd-8c0e-fba261ed96e1	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00764	0.0	0.0	118.35243225097656	120.302001953125	23
+22102	GGAAA	2	0.01095	0.0	0.0	126.8102035522461	126.19499969482422	33
+#0f18df3d-e006-4d83-9c00-d2b6e2b668af	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00896	0.0	0.0	123.11996459960938	123.06900024414062	27
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+#a7b0744a-4f4a-4d45-907d-b0eed99d2e98	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00598	0.0	0.0	118.61209869384766	117.44599914550781	18
+22102	GGAAA	2	0.01726	0.0	0.0	124.54773712158203	125.95449829101562	52
+#30f0513c-dc44-44d4-ac18-1bfd7a9a28bb	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00996	0.0	0.0	115.39576721191406	114.21499633789062	30
+22102	GGAAA	6	0.03054	0.0	0.0	124.31990051269531	125.22949981689453	92
+#6057e4db-745d-407d-98bb-83a8e9a5f0ce	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.04349	0.0	0.0	113.60332489013672	113.35299682617188	131
+22102	GGAAA	5	0.05743	0.0	0.0	120.23699188232422	121.44599914550781	173
+#55fb9fbe-c25a-486b-9fed-b50328c70e5a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22102	GGAAA	1	0.00631	0.0	0.0	127.09893798828125	128.00999450683594	19
+#
diff -r 000000000000 -r 557cf45ff2c8 test-data/sample1.tsv.idx
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/sample1.tsv.idx	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,60 @@
+ref_id	ref_start	ref_end	read_id	kmers	dwell_time	NNNNN_kmers	mismatch_kmers	missing_kmers	byte_offset	byte_len
+chr	22101	22103	f30a0489-ec1e-4f6e-829e-fa6d16dbee2e	2	0.01228	0	0	0	0	282
+chr	22101	22103	e924b30f-22dc-4156-8e5c-ba664abbe7a7	2	0.0322	0	0	0	283	280
+chr	22101	22103	d4988330-6f34-498a-b1e3-6574d8b3dae2	2	0.025559999999999996	0	0	0	564	295
+chr	22101	22103	0f8c0aae-a5ce-47ae-af66-a762f44a9d3a	2	0.052779999999999994	0	0	0	860	295
+chr	22101	22103	43000cf1-c697-4e0b-8414-5aed3db85976	2	0.04016	0	0	0	1156	282
+chr	22101	22103	1a0779f0-4d51-4400-8b0e-29363ea9aa91	2	0.00996	0	0	0	1439	272
+chr	22101	22103	85462d40-9227-4f0a-ad25-c4c5abb6b7e6	2	0.020239999999999998	0	0	0	1712	281
+chr	22101	22103	5bf2cef1-ec1f-4b1f-bf9f-e79dccb33836	2	0.04914	0	0	0	1994	283
+chr	22101	22103	db70549e-4650-4e64-904d-7929f4701b4d	2	0.03818	0	0	0	2278	282
+chr	22101	22103	34c8247e-6fbd-4a8c-a17e-8c740d3bfb08	2	0.08001	0	0	0	2561	282
+chr	22101	22103	0eb8f174-1680-41ca-a098-b762e6ee7b76	2	0.048139999999999995	0	0	0	2844	309
+chr	22101	22103	77489463-5e96-43b5-ba97-aad51f918336	2	0.05777	0	0	0	3154	283
+chr	22101	22103	4e6ece57-2cb1-4f12-8410-ae9696be4e43	2	0.030879999999999998	1	0	0	3438	287
+chr	22101	22103	578c1cbf-e9c0-47b0-b5ad-eeeec8cacaa2	2	0.02555	0	0	0	3726	281
+chr	22101	22103	ff72f771-8174-4950-9ede-40ffb052d044	2	0.027889999999999998	0	0	0	4008	280
+chr	22101	22103	97b0f9b2-48c6-4928-b366-b1e7b8721271	2	0.02656	0	0	0	4289	282
+chr	22101	22103	136f4584-fa85-47b5-965d-2bc88fa15e4a	2	0.033190000000000004	0	0	0	4572	293
+chr	22101	22103	8a7c1cbe-453b-44a4-82aa-ad2305025760	2	0.02889	0	0	0	4866	283
+chr	22101	22103	a77db53e-9553-4045-858a-9953b6a42523	2	0.02391	0	0	0	5150	282
+chr	22101	22103	085929b9-c69c-4245-99dc-de3e01b24557	2	0.053099999999999994	0	0	0	5433	295
+chr	22101	22103	b03e37d7-1199-43e4-ad8e-90d5f65484ba	2	0.04017	0	0	0	5729	283
+chr	22101	22103	66e23a5c-4fde-4b66-9b25-ff5bade5ebf6	2	0.03719	0	0	0	6013	295
+chr	22101	22103	7931a9dc-02fd-4dfd-a8e1-92d6fe1a2e9a	2	0.00996	0	0	0	6309	281
+chr	22101	22103	679e2499-ffd9-4d91-bd03-5fa5228fb2b0	2	0.01294	0	0	0	6591	280
+chr	22101	22103	d6e01353-c2f7-4051-b49d-b77f23df84db	2	0.057769999999999995	0	0	0	6872	281
+chr	22101	22103	593e8df7-d17f-45dc-97e9-7dd9f17eccc5	2	0.07436000000000001	0	0	0	7154	284
+chr	22101	22103	6781c476-1d7d-424f-be2f-7272f2293816	2	0.01593	0	0	0	7439	282
+chr	22101	22103	24561b20-06f9-4395-bb5d-06df8c7af304	2	0.01593	0	0	0	7722	282
+chr	22101	22103	dc6b006e-8002-4f07-8ec5-e5256be95278	2	0.00896	0	0	0	8005	282
+chr	22101	22103	79f6a527-ae56-4f0c-9374-80ec5312d014	2	0.02324	0	0	0	8288	281
+chr	22101	22103	da09104c-079f-4258-8c19-7c9d5cc89538	2	0.02556	0	0	0	8570	283
+chr	22101	22103	39db71ed-6c5a-4ede-a358-e81f0e6bf313	2	0.02557	0	0	0	8854	296
+chr	22101	22103	36e065cf-3fd1-4960-a8fb-e49eab5350c1	2	0.04317	0	0	0	9151	282
+chr	22101	22103	4f330c34-6e05-41aa-b867-90bbd125e829	2	0.08267000000000001	1	0	0	9434	283
+chr	22101	22103	5454e135-40bd-416c-836f-78c02e508a3c	2	0.0385	0	0	0	9718	283
+chr	22101	22103	539baf2c-e615-463f-950e-938f9370f66d	2	0.013940000000000001	0	0	0	10002	295
+chr	22101	22103	082d338f-2d9d-48da-9308-9031ffc98e33	2	0.01959	0	0	0	10298	282
+chr	22101	22103	905dc486-7e27-423d-bd9e-1ef91f051f5e	2	0.027229999999999997	1	0	0	10581	299
+chr	22101	22103	2e0984c3-ab2e-4f67-bcdf-2f83731e9b33	2	0.01394	1	0	0	10881	285
+chr	22101	22103	ca36cae0-9b99-4bc7-b542-5ceafd7fe08e	2	0.01759	0	0	0	11167	281
+chr	22101	22103	20efbede-e82d-497d-837a-a504f23daa7a	2	0.0069700000000000005	0	0	0	11449	282
+chr	22101	22103	e33453d3-70da-4985-b718-581993fffe54	2	0.03221	0	0	0	11732	283
+chr	22101	22103	3bcf4483-16f3-4ad3-9109-67138290cca3	2	0.0176	0	0	0	12016	282
+chr	22101	22103	7bb71d53-9b4a-4571-83f3-2aebd1fcbac1	2	0.03253	0	0	0	12299	282
+chr	22101	22103	501e4486-c0c2-4d1f-938b-af2449132fb0	2	0.021580000000000002	0	0	0	12582	279
+chr	22101	22103	7e6a64b0-7d43-4f78-a72c-d053eaac2b71	2	0.028220000000000002	0	0	0	12862	283
+chr	22101	22103	8b682e72-00ee-4a1a-98bf-362841494e57	2	0.0674	0	0	0	13146	283
+chr	22101	22103	be2461c2-1165-47fc-ba73-2aadcfa12b5f	2	0.011279999999999998	0	0	0	13430	280
+chr	22101	22103	c395d12e-07b3-4a1d-88cc-d3f7a8603d64	2	0.01992	0	0	0	13711	296
+chr	22101	22103	af037c78-1908-4828-8e39-481c69de7afc	2	0.03685	0	0	0	14008	281
+chr	22101	22103	d1262e2d-f7d5-4afc-8e66-98c77bdf21b7	2	0.07336999999999999	0	0	0	14290	296
+chr	22101	22103	6b779e7d-26fb-4863-9082-04068823a29d	2	0.010950000000000001	0	0	0	14587	280
+chr	22101	22103	e8da2741-03f5-416a-a7f0-96250a49ddd6	2	0.06541	0	0	0	14868	283
+chr	22101	22103	484f63e8-a501-4edd-8c0e-fba261ed96e1	2	0.01859	0	0	0	15152	280
+chr	22101	22103	0f18df3d-e006-4d83-9c00-d2b6e2b668af	2	0.015269999999999999	0	0	0	15433	283
+chr	22101	22103	a7b0744a-4f4a-4d45-907d-b0eed99d2e98	2	0.02324	0	0	0	15717	283
+chr	22101	22103	30f0513c-dc44-44d4-ac18-1bfd7a9a28bb	2	0.0405	0	0	0	16001	283
+chr	22101	22103	6057e4db-745d-407d-98bb-83a8e9a5f0ce	2	0.10092000000000001	0	0	0	16285	285
+chr	22102	22103	55fb9fbe-c25a-486b-9fed-b50328c70e5a	1	0.00631	0	0	0	16571	212
diff -r 000000000000 -r 557cf45ff2c8 test-data/sample2.tsv
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/sample2.tsv	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,401 @@
+#7f1aeec8-0acc-4a78-8ff2-12116de7906f	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00531	0.0	0.0	121.67037963867188	121.23699951171875	16
+22102	GGAAA	4	0.01892	0.0	0.0	124.56398010253906	124.41100311279297	57
+#3fb36f87-41a9-4053-bba0-e9c99c0f3af4	chr
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+#58264997-9ac8-4d8c-8dd5-837e5132646a	chr
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+22102	GGAAA	4	0.03985	0.0	0.0	122.02442932128906	122.41500091552734	120
+#74838d35-d7a0-4a2e-b5c2-53b68ba407a8	chr
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+#a0e528ef-2a70-445c-9bed-cf6e93e8c3a8	chr
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+#9a0198f3-8a28-4724-a36d-4bb7f66e6951	chr
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+#5885e81a-2438-46b9-b688-9b9982f8570a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+#667bd035-80ca-40f2-b972-9f4407e172e6	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+#3e9c6592-c128-48f5-9612-7dc484b9e44e	chr
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+#dd2f645b-8681-48f0-9b62-4b32e0d7c9be	chr
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+#b05e5251-cfa8-4288-bf67-5c5410967df8	chr
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+#15c009c3-be67-4bc5-8a6a-23d00002c4b1	chr
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+#cb76917c-aa84-4282-ade3-d7375a4e6424	chr
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+22102	GGAAA	3	0.02257	0.0	0.0	124.56883239746094	126.75599670410156	68
+#5a627c4a-2572-4efe-95da-8a3aac4869ea	chr
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+#6ce91c6b-2aa2-4478-a673-e5fd15c6e47b	chr
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+22102	GGAAA	4	0.03319	0.0	0.0	125.60735321044922	125.5979995727539	100
+#8c1f3066-b069-4135-a723-b96f36d38a15	chr
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+#c5d34993-bd1a-4b18-a428-d78454cd7ccb	chr
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+#4f01921d-c683-4e85-8597-810c109eb4fd	chr
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+#fcf407e9-9252-4255-af72-61893b319e0f	chr
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+#a9313b9f-c533-4b3f-88bb-1d8e009855f4	chr
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+#e8f7ee19-62e2-4096-95ee-428acd6c366f	chr
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+#554e41cc-2fbf-419d-ba17-421a50fdb706	chr
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+#11a7069d-f176-41a3-a1af-799a2115de20	chr
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+#ccf05612-40af-4cdb-a7dd-940c9129d4f3	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	6	0.06108	0.0	0.0	122.79985046386719	122.40299987792969	184
+#46b7c4ff-9ab5-40c8-9792-d7523178afbc	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	2	0.015279999999999998	0.0	0.0	125.62187957763672	124.88099670410156	46
+#cabb84ef-c6c0-4e07-beff-e5eed05198d5	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	2	0.01826	0.0	0.0	118.0160903930664	121.2760009765625	55
+#caeb4080-a076-4b28-87ff-71c109ccfc8e	chr
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+22102	GGAAA	2	0.010620000000000001	0.0	0.0	126.31681823730469	126.3699951171875	32
+#c2d50882-3d64-4dd0-895e-017e2c40782e	chr
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+22102	GGAAA	6	0.03087	0.0	0.0	125.23326873779297	125.06199645996094	93
+#7e834f65-217d-4f76-9294-99bcb7319211	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	1	0.00199	0.0	0.0	108.19467163085938	108.24749755859375	6
+#ee04c7b7-669f-4d84-a589-63e8195cd11d	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00232	0.0	0.0	119.85729217529297	119.68800354003906	7
+22102	GGAAA	6	0.06506999999999999	0.0	0.0	123.23933410644531	124.06050109863281	196
+#df7fde92-d62a-480d-a573-5568a21baf4a	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	1	0.04615	0.0	0.0	120.60552215576172	122.14099884033203	139
+#7e7c3159-d7ba-415c-aafd-5b6101cce083	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
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+22102	GGAAA	5	0.024239999999999998	0.0	0.0	127.60884094238281	128.68699645996094	73
+#2ead04b2-a520-4623-bed1-c58b2de4ad13	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.00996	0.0	0.0	123.75735473632812	123.76800537109375	30
+22102	GGAAA	1	0.0073	0.0	0.0	124.35718536376953	125.03250122070312	22
+#1b7e8d9c-dbc7-4131-87da-76ab5c31cef5	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	2	0.02922	0.0	0.0	121.81069946289062	120.7969970703125	88
+22102	GGAAA	1	0.00365	0.0	0.0	128.2813720703125	129.61500549316406	11
+#44f13b68-e386-4e9c-ba0d-eb9b8afe07a4	chr
+ref_pos	ref_kmer	num_events	dwell_time	NNNNN_dwell_time	mismatch_dwell_time	mean	median	num_signals
+22101	AGGAA	1	0.00498	0.0	0.0	115.5508041381836	115.84200286865234	15
+22102	GGAAA	3	0.04747	0.0	0.0	123.99502563476562	124.28800201416016	143
+#
diff -r 000000000000 -r 557cf45ff2c8 test-data/sample2.tsv.idx
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/sample2.tsv.idx	Tue May 05 06:57:10 2020 -0400
@@ -0,0 +1,101 @@
+ref_id	ref_start	ref_end	read_id	kmers	dwell_time	NNNNN_kmers	mismatch_kmers	missing_kmers	byte_offset	byte_len
+chr	22101	22103	7f1aeec8-0acc-4a78-8ff2-12116de7906f	2	0.024229999999999998	0	0	0	0	283
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