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Illumina paired-end sequencing,\n which produces two separate reads for each DNA fragment, has become the\n platform of choice for this application. However, when the two reads do\n not overlap, existing computational pipelines analyze data from read\n separately and underutilize the information contained in the paired-end\n reads. Results: We created a workflow known as Illinois Mayo Taxon\n Organization from RNA Dataset Operations (IM-TORNADO) for processing\n non-overlapping reads while retaining maximal information content. Using\n synthetic mock datasets, we show that the use of both reads produced\n answers with greater correlation to those from full length 16S rDNA when\n looking at taxonomy, phylogeny, and beta-diversity. Availability and\n Implementation: IM-TORNADO is freely available at\n http://sourceforge.net/projects/imtornad​o and produces BIOM format output\n for cross compatibility with other pipelines such as QIIME, mothur, and\n phyloseq.","descriptionType":"Abstract"},{"description":"Files for taxonomy\n comparisonSynthetic mock dataset\n used for taxonomy assignment comparison, across multiple read lengths.\n File includes scripts used and raw validation data.comparison_taxonomy.tar.bz2Files for comparison of sequence alignersSynthetic mock datasets used to compare the mulitple sequence aligners cmalign (from the infernal package) versus the NAST algorithm (from the PyNAST implementation). File includes R scripts and resulting raw validation data.comparison_aligners.tar.bz2Files for validation with realistic synthetic readsSynthetic mock datasets used for validation based on a realistic human stool microbiome dataset. These are NOT real bacterial reads. Those reads are available as example data from the IM-TORNADO pipeline. File includes scripts and raw validation data.validation_realistic.tar.bz2Files for taxonomy comparison using reads with errorsSynthetic mock datasets (100 replicates) used for validation of taxonomy using reads with errors and different length. File also includes scripts and resulting raw data for the validation.validation_taxonomy_errors.tar.bz2Files for validation of beta diversity using 16S rDNA regions V3 to V5Synthetic mock datasets (100 replicates) used for validation of beta diversity across synthetic communities using 16S rDNA region V3 to V5. File also includes scripts and resulting raw data for the validation.validation_V3V5.tar.bz2Files for validation of beta diversity using 16S rDNA regions V6 to V9Synthetic mock datasets (100 replicates) used for validation of beta diversity across synthetic communities using 16S rDNA region V6 to V9. File also includes scripts and resulting raw data for the validation.validation_V6V9.tar.bz2","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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      <creatorName nameType="Personal">Jeraldo, Patricio</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03jp40720" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Mayo Clinic in Arizona</affiliation>
      <affiliation affiliationIdentifier="https://ror.org/047426m28" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Illinois Urbana-Champaign</affiliation>
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      <creatorName nameType="Personal">Kalari, Krishna</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03jp40720" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Mayo Clinic in Arizona</affiliation>
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    <creator>
      <creatorName nameType="Personal">Chen, Xianfeng</creatorName>
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      <creatorName nameType="Personal">Bhavsar, Jaysheel</creatorName>
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      <creatorName nameType="Personal">Mangalam, Ashutosh</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03jp40720" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Mayo Clinic in Arizona</affiliation>
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    <creator>
      <creatorName nameType="Personal">White, Bryan</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/047426m28" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Illinois Urbana-Champaign</affiliation>
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    <creator>
      <creatorName nameType="Personal">Nelson, Heidi</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03jp40720" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Mayo Clinic in Arizona</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Kocher, Jean-Pierre</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03jp40720" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Mayo Clinic in Arizona</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Chia, Nicholas</creatorName>
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  <titles>
    <title>
      Data from: IM-TORNADO: a tool for comparison of 16S reads from paired-end
      libraries
    </title>
  </titles>
  <publisher publisherIdentifier="https://ror.org/00x6h5n95" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Dryad</publisher>
  <resourceType resourceTypeGeneral="Dataset">dataset</resourceType>
  <publicationYear>2015</publicationYear>
  <subjects>
    <subject>16S rDNA</subject>
    <subject>paired-end sequencing</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Archaea</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Bioinformatics</subject>
  </subjects>
  <dates>
    <date dateType="Submitted">2014-10-31T21:22:18Z</date>
    <date dateType="Issued">2015-11-12T00:00:00Z</date>
    <date dateType="Available">2015-11-12T00:00:00Z</date>
  </dates>
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  <descriptions>
    <description descriptionType="Abstract">
      Motivation: 16S rDNA hypervariable tag sequencing has become the de facto
      method for accessing microbial diversity. Illumina paired-end sequencing,
      which produces two separate reads for each DNA fragment, has become the
      platform of choice for this application. However, when the two reads do
      not overlap, existing computational pipelines analyze data from read
      separately and underutilize the information contained in the paired-end
      reads. Results: We created a workflow known as Illinois Mayo Taxon
      Organization from RNA Dataset Operations (IM-TORNADO) for processing
      non-overlapping reads while retaining maximal information content. Using
      synthetic mock datasets, we show that the use of both reads produced
      answers with greater correlation to those from full length 16S rDNA when
      looking at taxonomy, phylogeny, and beta-diversity. Availability and
      Implementation: IM-TORNADO is freely available at
      http://sourceforge.net/projects/imtornad​o and produces BIOM format output
      for cross compatibility with other pipelines such as QIIME, mothur, and
      phyloseq.
    </description>
    <description descriptionType="Other">
      &lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4
      class="o-heading__level3-file-title"&gt;Files for taxonomy
      comparison&lt;/h4&gt;&lt;div
      class="o-metadata__file-description"&gt;Synthetic mock dataset
      used for taxonomy assignment comparison, across multiple read lengths.
      File includes scripts used and raw validation data.&lt;/div&gt;&lt;div
      class="o-metadata__file-name"&gt;comparison_taxonomy.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4 class="o-heading__level3-file-title"&gt;Files for comparison of sequence aligners&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Synthetic mock datasets used to compare the mulitple sequence aligners cmalign (from the infernal package) versus the NAST algorithm (from the PyNAST implementation). File includes R scripts and resulting raw validation data.&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;comparison_aligners.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4 class="o-heading__level3-file-title"&gt;Files for validation with realistic synthetic reads&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Synthetic mock datasets used for validation based on a realistic human stool microbiome dataset. These are NOT real bacterial reads. Those reads are available as example data from the IM-TORNADO pipeline. File includes scripts and raw validation data.&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;validation_realistic.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4 class="o-heading__level3-file-title"&gt;Files for taxonomy comparison using reads with errors&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Synthetic mock datasets (100 replicates) used for validation of taxonomy using reads with errors and different length. File also includes scripts and resulting raw data for the validation.&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;validation_taxonomy_errors.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4 class="o-heading__level3-file-title"&gt;Files for validation of beta diversity using 16S rDNA regions V3 to V5&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Synthetic mock datasets (100 replicates) used for validation of beta diversity across synthetic communities using 16S rDNA region V3 to V5. File also includes scripts and resulting raw data for the validation.&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;validation_V3V5.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4 class="o-heading__level3-file-title"&gt;Files for validation of beta diversity using 16S rDNA regions V6 to V9&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Synthetic mock datasets (100 replicates) used for validation of beta diversity across synthetic communities using 16S rDNA region V6 to V9. File also includes scripts and resulting raw data for the validation.&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;validation_V6V9.tar.bz2&lt;/br&gt;&lt;/div&gt;&lt;/div&gt;
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