{"data":{"id":"10.5061/dryad.mv827","type":"dois","attributes":{"doi":"10.5061/dryad.mv827","prefix":"10.5061","suffix":"dryad.mv827","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Salehi, Faezeh","nameType":"Personal","givenName":"Faezeh","familyName":"Salehi","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Baronio, Roberta","nameType":"Personal","givenName":"Roberta","familyName":"Baronio","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Idrogo-Lam, Ryan","nameType":"Personal","givenName":"Ryan","familyName":"Idrogo-Lam","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Vu, Huy","nameType":"Personal","givenName":"Huy","familyName":"Vu","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Hall, Linda V.","nameType":"Personal","givenName":"Linda V.","familyName":"Hall","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Kaiser, Peter","nameType":"Personal","givenName":"Peter","familyName":"Kaiser","affiliation":["University of California, Irvine"],"nameIdentifiers":[]},{"name":"Lathrop, Richard","nameType":"Personal","givenName":"Richard","familyName":"Lathrop","affiliation":[],"nameIdentifiers":[]},{"name":"Lathrop, Richard H.","nameType":"Personal","givenName":"Richard H.","familyName":"Lathrop","affiliation":["University of California, Irvine"],"nameIdentifiers":[]}],"titles":[{"title":"Data from: CHOPER filters enable rare mutation detection in complex mutagenesis populations by next-generation sequencing"}],"publisher":"Dryad","container":{},"publicationYear":2015,"subjects":[{"subject":"Bioinformatics","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Next Generation Sequencing"}],"contributors":[],"dates":[{"date":"2014-12-16T19:34:12Z","dateType":"Submitted"},{"date":"2015-12-19T00:00:00Z","dateType":"Issued"},{"date":"2015-12-19T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.1371/journal.pone.0116877","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["6716418918 bytes"],"formats":[],"version":"1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Next-generation sequencing (NGS) has revolutionized genetics and enabled\n the accurate identification of many genetic variants across many genomes.\n However, detection of biologically important low-frequency variants within\n genetically heterogeneous populations remains challenging, because they\n are difficult to distinguish from intrinsic NGS sequencing error rates.\n Approaches to overcome these limitations are essential to detect rare\n mutations in large cohorts, virus or microbial populations, mitochondria\n heteroplasmy, and other heterogeneous mixtures such as tumors.\n Modifications in library preparation can overcome some of these\n limitations, but are experimentally challenging and restricted to skilled\n biologists. This paper describes a novel quality filtering and base\n pruning pipeline, called Complex Heterogeneous Overlapped Paired-End Reads\n (CHOPER), designed to detect sequence variants in a complex population\n with high sequence similarity derived from All-Codon-Scanning (ACS)\n mutagenesis. A novel fast alignment algorithm, designed for the specified\n application, has O(n) time complexity. CHOPER was applied to a p53 cancer\n mutant reactivation study derived from ACS mutagenesis. Relative to error\n filtering based on Phred quality scores, CHOPER improved accuracy by about\n 13% while discarding only half as many bases. These results are a step\n toward extending the power of NGS to the analysis of genetically\n heterogeneous populations.","descriptionType":"Abstract"},{"description":"ACAGTG1_part1.fqM237I_ACS sample/ forward reads/ part 1 (please join with ACAGTG1_part2.fq for a complete file). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.ACAGTG1_part2.fqM237I_ACS sample/ forward reads/ part 2 (please join with ACAGTG1_part1.fq for a complete sample). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.ACAGTG2_part1.fqM237I_ACS sample/ reverse reads/ part 1(please join with ACAGTG2_part2.fq for a complete sample). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.ACAGTG2_part2.fqM237I_ACS sample/ reverse reads/ part 2 (please join with ACAGTG2_part1.fq for a complete sample). Corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.CAGATC1.fqM237I_RESCUE sample/ forward reads. Identical to M237I_ACS sample except that transformants were selected for active p53 by culturing the cells in media lacking uracil, thus requiring active p53 for growth.CAGATC2.fqM237I_RESCUE sample/ reverse reads. Identical to M237I_ACS sample except that transformants were selected for active p53 by culturing the cells in media lacking uracil, thus requiring active p53 for growth.TGACCA1_part1.fqM237I sample/ forward reads/ part 1 (please join with TGACCA1_part2.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.TGACCA1_part2.fqM237I sample/ forward reads/ part 2 (please join with TGACCA1_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.TGACCA2_part1.fqM237I sample/ reverse reads/ part 1 (please join with TGACCA2_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.TGACCA2_part2.fqM237I sample/ reverse reads/ part 2 (please join with TGACCA2_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.m237i1The m237i p53 cancer mutant gene core domain sequence.choperThe CHOPER filtering implementation in python.codonsCounting codons after applying CHOPER filters for statistical analysis.PhredFilterPhred filtering code. To run, use the following: \"java -jar PhredFilter.jar \" For example: java -jar PhredFilter.jar TGACCA1.fq TGACCA1_out.fq 30 The output file will be P30_TGACCA1_out.fq","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.5061/DRYAD.MV827</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Salehi, Faezeh</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Baronio, Roberta</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Idrogo-Lam, Ryan</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Vu, Huy</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Hall, Linda V.</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Kaiser, Peter</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Lathrop, Richard, H.</creatorName>
    </creator>
    <creator>
      <creatorName nameType="Personal">Lathrop, Richard H.</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/04gyf1771" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Irvine</affiliation>
    </creator>
  </creators>
  <titles>
    <title>
      Data from: CHOPER filters enable rare mutation detection in complex
      mutagenesis populations by next-generation sequencing
    </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 subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Bioinformatics</subject>
    <subject>Next Generation Sequencing</subject>
  </subjects>
  <dates>
    <date dateType="Submitted">2014-12-16T19:34:12Z</date>
    <date dateType="Issued">2015-12-19T00:00:00Z</date>
    <date dateType="Available">2015-12-19T00:00:00Z</date>
  </dates>
  <language>en</language>
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  <descriptions>
    <description descriptionType="Abstract">
      Next-generation sequencing (NGS) has revolutionized genetics and enabled
      the accurate identification of many genetic variants across many genomes.
      However, detection of biologically important low-frequency variants within
      genetically heterogeneous populations remains challenging, because they
      are difficult to distinguish from intrinsic NGS sequencing error rates.
      Approaches to overcome these limitations are essential to detect rare
      mutations in large cohorts, virus or microbial populations, mitochondria
      heteroplasmy, and other heterogeneous mixtures such as tumors.
      Modifications in library preparation can overcome some of these
      limitations, but are experimentally challenging and restricted to skilled
      biologists. This paper describes a novel quality filtering and base
      pruning pipeline, called Complex Heterogeneous Overlapped Paired-End Reads
      (CHOPER), designed to detect sequence variants in a complex population
      with high sequence similarity derived from All-Codon-Scanning (ACS)
      mutagenesis. A novel fast alignment algorithm, designed for the specified
      application, has O(n) time complexity. CHOPER was applied to a p53 cancer
      mutant reactivation study derived from ACS mutagenesis. Relative to error
      filtering based on Phred quality scores, CHOPER improved accuracy by about
      13% while discarding only half as many bases. These results are a step
      toward extending the power of NGS to the analysis of genetically
      heterogeneous populations.
    </description>
    <description descriptionType="Other">
      &lt;div class="o-metadata__file-usage-entry"&gt;&lt;h4
      class="o-heading__level3-file-title"&gt;ACAGTG1_part1.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_ACS sample/ forward reads/ part 1 (please join with ACAGTG1_part2.fq for a complete file). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;ACAGTG1_part2.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_ACS sample/ forward reads/ part 2 (please join with ACAGTG1_part1.fq for a complete sample). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;ACAGTG2_part1.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_ACS sample/ reverse reads/ part 1(please join with ACAGTG2_part2.fq for a complete sample). This sample corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;ACAGTG2_part2.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_ACS sample/ reverse reads/ part 2 (please join with ACAGTG2_part1.fq for a complete sample). Corresponds to ACS mutagenesis performed on the p53 core domain containing the cancer mutant M237I. No selective pressure for p53 activity was applied. This sample controls for, and allows analysis of, the diversity of the ACS library.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;CAGATC1.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_RESCUE sample/ forward reads. Identical to M237I_ACS sample except that transformants were selected for active p53 by culturing the cells in media lacking uracil, thus requiring active p53 for growth.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;CAGATC2.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I_RESCUE sample/ reverse reads. Identical to M237I_ACS sample except that transformants were selected for active p53 by culturing the cells in media lacking uracil, thus requiring active p53 for growth.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;TGACCA1_part1.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I sample/ forward reads/ part 1 (please join with TGACCA1_part2.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;TGACCA1_part2.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I sample/ forward reads/ part 2 (please join with TGACCA1_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;TGACCA2_part1.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I sample/ reverse reads/ part 1 (please join with TGACCA2_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;TGACCA2_part2.fq&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;M237I sample/ reverse reads/ part 2 (please join with TGACCA2_part1.fq for a complete sample). Represents the unprocessed p53 core domain that contains the cancer mutation M237I but no other introduced mutations. This sample was prepared to analyze and control the baseline error rates associated with the procedure, as well as the intrinsic NGS sequencing error rates.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;m237i1&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;The m237i p53 cancer mutant gene core domain sequence.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;choper&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;The CHOPER filtering implementation in python.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;codons&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Counting codons after applying CHOPER filters for statistical analysis.&lt;/div&gt;&lt;div class="o-metadata__file-name"&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;PhredFilter&lt;/h4&gt;&lt;div class="o-metadata__file-description"&gt;Phred filtering code. To run, use the following: "java -jar PhredFilter.jar &lt;input.fq file&gt; &lt;output file&gt; &lt;threshold&gt;" For example: java -jar PhredFilter.jar TGACCA1.fq TGACCA1_out.fq 30 The output file will be P30_TGACCA1_out.fq&lt;/div&gt;&lt;div class="o-metadata__file-name"&gt;&lt;/div&gt;&lt;/div&gt;
    </description>
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