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<head>
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<title>hundo - Experiment Summary</title>
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<div class="document" id="hundo-experiment-summary">
<h1 class="title"><a class="reference external" href="https://github.com/pnnl/hundo">hundo</a> - Experiment Summary</h1>
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<p class="topic-title first">Contents</p>
<ul class="simple">
<li><a class="reference internal" href="#summary" id="id1">Summary</a><ul>
<li><a class="reference internal" href="#sequence-counts" id="id2">Sequence Counts</a></li>
<li><a class="reference internal" href="#sequence-quality" id="id3">Sequence Quality</a></li>
<li><a class="reference internal" href="#otus" id="id4">OTUs</a></li>
<li><a class="reference internal" href="#taxonomy" id="id5">Taxonomy</a></li>
</ul>
</li>
<li><a class="reference internal" href="#methods" id="id6">Methods</a></li>
<li><a class="reference internal" href="#configuration" id="id7">Configuration</a></li>
<li><a class="reference internal" href="#execution-environment" id="id8">Execution Environment</a></li>
<li><a class="reference internal" href="#output-files" id="id9">Output Files</a><ul>
<li><a class="reference internal" href="#attached" id="id10">Attached</a></li>
<li><a class="reference internal" href="#other-result-files" id="id11">Other Result Files</a></li>
</ul>
</li>
<li><a class="reference internal" href="#downloads" id="id12">Downloads</a></li>
</ul>
</div>
<div class="section" id="summary">
<h1>Summary</h1>
<div class="section" id="sequence-counts">
<h2>Sequence Counts</h2>
<div style="overflow-x:auto;">
<table border="1" class="dataframe table table-bordered" id="summaryTable">
<thead>
<tr style="text-align: right;">
<th>Sample</th>
<th>Raw</th>
<th>Filtered</th>
<th>Merged</th>
<th>In OTUs</th>
<th>shannon</th>
<th>simpson</th>
<th>invsimpson</th>
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<tbody>
<tr>
<td>F3D144_S210_L001_001</td>
<td>4827</td>
<td>4809.0</td>
<td>3107.0</td>
<td>2968.0</td>
<td>3.126734</td>
<td>0.924098</td>
<td>13.174933</td>
</tr>
<tr>
<td>F3D142_S208_L001_001</td>
<td>3183</td>
<td>3168.0</td>
<td>2185.0</td>
<td>2092.0</td>
<td>3.269211</td>
<td>0.934444</td>
<td>15.254106</td>
</tr>
<tr>
<td>F3D141_S207_L001_001</td>
<td>5958</td>
<td>5939.0</td>
<td>4270.0</td>
<td>4110.0</td>
<td>3.434652</td>
<td>0.944073</td>
<td>17.880536</td>
</tr>
<tr>
<td>F3D143_S209_L001_001</td>
<td>3178</td>
<td>3172.0</td>
<td>2255.0</td>
<td>2149.0</td>
<td>3.441376</td>
<td>0.942087</td>
<td>17.267208</td>
</tr>
<tr>
<td>Sample1 **OMITTED**</td>
<td>3.0</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
<td>NaN</td>
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<div class="section" id="sequence-quality">
<h2>Sequence Quality</h2>
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<div class="section" id="otus">
<h2>OTUs</h2>
<div style="overflow-x:auto;">
<table border="1" class="dataframe table table-bordered" id="otuTable">
<thead>
<tr style="text-align: right;">
<th>Samples</th>
<th>OTUs</th>
<th>OTU Total Count</th>
<th>OTU Table Density</th>
</tr>
</thead>
<tbody>
<tr>
<td>4</td>
<td>137</td>
<td>11319.0</td>
<td>0.844891</td>
</tr>
</tbody>
</table>
</div></div>
<div class="section" id="taxonomy">
<h2>Taxonomy</h2>
<p>Samples are ordered from least diverse to most.</p>
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</div>
<div class="section" id="methods">
<h1>Methods</h1>
<p><tt class="docutils literal">hundo</tt> wraps a number of functions and its exact steps are
dependent upon a given user's configuration.</p>
<p>Paired-end sequence reads are quality trimmed and can be trimmed of
adapters and filtered of contaminant sequences using BBDuk2 of the
<a class="reference external" href="https://sourceforge.net/projects/bbmap/">BBTools</a> package. Passing reads are merged using
<a class="reference external" href="https://github.com/torognes/vsearch">VSEARCH</a> then aggregated into a single FASTA file with headers
describing the origin and count of the sequence.</p>
<p>Prior to creating clusters, reads are filtered again based on expected
error rates:</p>
<p>To create clusters, the aggregated, merged reads are dereplicated to
remove singletons by default using VSEARCH. Sequences are preclustered
into centroids using VSEARCH to accelerate chimera filtering. Chimera
filtering is completed in two steps: <em>de novo</em> and then reference
based. The reference by default is the entire annotation database.
Following chimera filtering, sequences are placed into clusters using
distance-based, greedy cluster with VSEARCH based on the allowable
percent difference of the configuration.</p>
<p>After OTU sequences have been determined, <a class="reference external" href="https://blast.ncbi.nlm.nih.gov/Blast.cgi">BLAST</a> or VSEARCH is used to align
sequences to the reference database. Reference databases for 16S were curated
by the <a class="reference external" href="https://github.com/lanzen/CREST">CREST</a> team and hundo incorporates the CREST LCA method. ITS databases
are maintained by <a class="reference external" href="https://unite.ut.ee/">UNITE</a>.</p>
<p>Counts are assigned to OTUs using the global alignment method of
VSEARCH, which outputs the final OTU table as a tab-delimited text
file. The <a class="reference external" href="http://biom-format.org/">Biom</a> command line tool is used to convert the tab table
to biom.</p>
<p>Multiple alignment of sequences is completed using <a class="reference external" href="https://mafft.cbrc.jp/alignment/software/">MAFFT</a>.
A tree based on the aligned sequences is built using <a class="reference external" href="http://www.microbesonline.org/fasttree/">FastTree2</a>.</p>
<p>This workflow is built using <a class="reference external" href="https://snakemake.readthedocs.io/en/stable/">Snakemake</a> and makes use of <a class="reference external" href="https://bioconda.github.io/">Bioconda</a>
to install its dependencies.</p>
</div>
<div class="section" id="configuration">
<h1>Configuration</h1>
<pre class="literal-block">
fastq_dir: /Users/brow015/devel/hundo/example/mothur_sop_data
filter_adapters: None
filter_contaminants: None
allowable_kmer_mismatches: 1
reference_kmer_match_length: 27
reduced_kmer_min: 8
minimum_passing_read_length: 100
minimum_base_quality: 10
minimum_merge_length: 150
fastq_allowmergestagger: False
fastq_maxdiffs: 5
fastq_minovlen: 16
maximum_expected_error: 1.0
reference_chimera_filter: True
minimum_sequence_abundance: 2
percent_of_allowable_difference: 3.0
reference_database: silva
aligner: blast
blast_minimum_bitscore: 125
blast_top_fraction: 0.95
read_identity_requirement: 0.97
</pre>
</div>
<div class="section" id="execution-environment">
<h1>Execution Environment</h1>
<pre class="literal-block">
name: hundo_env
channels:
- bioconda
- conda-forge
- defaults
dependencies:
- python>=3.6
- bbmap=37.17
- biom-format=2.1.6
- biopython
- blast=2.6.0
- bzip2=1.0.6
- click=6.7
- docutils=0.14
- mafft=7.313
- fasttree=2.1.10
- numpy>=1.14.0
- pandas>=0.23.0
- pigz=2.3.4
- pyyaml>=3.12
- vsearch=2.6.0
- zip=3.0
- pip
- pip:
- relatively
- plotly>=3.0
</pre>
</div>
<div class="section" id="output-files">
<h1>Output Files</h1>
<p>Not all files written by the workflow are contained within the
Downloads section of this page to minimize the size of the this
document. Other output files are described and are written to the
results directory.</p>
<div class="section" id="attached">
<h2>Attached</h2>
<p>The zip archive contains the following files:</p>
<div class="section" id="otu-biom">
<h3>OTU.biom</h3>
<p>Biom table with raw counts per sample and their associated
taxonomic assignment formatted to be compatible with downstream tools
like <a class="reference external" href="https://joey711.github.io/phyloseq/">phyloseq</a>.</p>
</div>
<div class="section" id="otu-fasta">
<h3>OTU.fasta</h3>
<p>Representative DNA sequences of each OTU.</p>
</div>
<div class="section" id="otu-tree">
<h3>OTU.tree</h3>
<p>Newick tree representation of aligned OTU sequences.</p>
</div>
<div class="section" id="otu-txt">
<h3>OTU.txt</h3>
<p>Tab-delimited text table with columns OTU ID, a column for each sample,
and taxonomy assignment in the final column as a comma delimited list.</p>
</div>
</div>
<div class="section" id="other-result-files">
<h2>Other Result Files</h2>
<p>Other files that may be needed, but that are not included in the
attached archive include:</p>
<div class="section" id="otu-aligned-fasta">
<h3>OTU_aligned.fasta</h3>
<p>OTU sequences after alignment using MAFFT.</p>
</div>
<div class="section" id="all-sequences-fasta">
<h3>all-sequences.fasta</h3>
<p>Quality-controlled, dereplicated DNA sequences of all samples. The
header of each record identifies the sample of origin and the count
resulting from dereplication.</p>
</div>
<div class="section" id="blast-hits-txt">
<h3>blast-hits.txt</h3>
<p>The BLAST assignments per OTU sequence.</p>
</div>
</div>
</div>
<div class="section" id="downloads">
<h1>Downloads</h1>
<div class="docutils container" id="attachments">
<blockquote>
<div class="docutils container" id="archive">
<dl class="docutils">
<dt>archive:</dt>
<dd><div class="first last"><a 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" download="hundo_results.zip" draggable="true">hundo_results.zip</a></div></dd>
</dl>
</div>
<div class="docutils container" id="samples">
<dl class="docutils">
<dt>samples:</dt>
<dd><div class="first last"><a href="data:text/plain;charset=utf8;filename=SAMPLES.txt;base64,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" download="SAMPLES.txt" draggable="true">SAMPLES.txt</a></div></dd>
</dl>
</div>
</blockquote>
</div>
<div class="docutils container" id="metadata">
Joe Brown // hundo, version 1.2.1 // 2018-09-21</div>
</div>
</div>
</body>
</html>