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There is a growing need for\n access to these technologies although preparation of NGS libraries remains\n a bottleneck to wider adoption. Here we report a novel method for the\n production of strand specific RNA-seq libraries utilizing inherent\n properties of double-stranded cDNA to capture and incorporate a sequencing\n adapter. Breath Adapter Directional sequencing (BrAD-seq) reduces sample\n handling and requires far fewer enzymatic steps than most available\n methods to produce high quality strand-specific RNA-seq libraries. The\n method we present is optimized for 3-prime Digital Gene Expression (DGE)\n libraries and can easily extend to full transcript coverage shotgun (SHO)\n type strand-specific libraries and is modularized to accommodate a\n diversity of RNA and DNA input materials. BrAD-seq offers a highly\n streamlined and inexpensive option for RNA-seq libraries.","descriptionType":"Abstract"},{"description":"SHO.FQ.tar.gzCompressed file containing Tomato RNA-seq reads from BrAD-seq shotgun (SHO) type strand-specific libraries (SHO_22.fastq, SHO_23.fastq, SHO_24.fastq).S_HTR.FQ.tar.gzCompressed file containing Tomato SAM RNA-seq reads from HTR-method libraries (S_HTR_A5.fastq, S_HTR_A6.fastq, S_HTR_B6.fastq, S_HTR_B7.fastq)L_HTR.FQ.tar.gzCompressed file containing Tomato leaf RNA-seq reads from HTR-method libraries (L_HTR_A4.fastq, L_HTR_B5.fastq, L_HTR_C6.fastq, L_HTR_D7.fastq)L_DGE.FQ2.tar.gzCompressed file containing Tomato leaf RNA-seq reads from BrAd-seq DGE libraries (L_DGE_E7.fastq, L_DGE_E8.fastq, L_DGE_F1.fastq)S_DGE.FQ1.tar.gzCompressed file containing Tomato SAM RNA-seq reads from BrAd-seq DGE libraries (S_DGE_A5.fastq, S_DGE_A6.fastq, S_DGE_B7.fastq, S_DGE_C7.fastq)L_DGE.FQ1.tar.gzCompressed file containing Tomato leaf RNA-seq reads from BrAd-seq DGE libraries (L_DGE_B5.fastq, L_DGE_C6.fastq, L_DGE_D7.fastq)S_DGE.FQ2.tar.gzCompressed file containing Tomato SAM RNA-seq reads from BrAd-seq DGE libraries (S_DGE_D8.fastq, S_DGE_E1.fastq, S_DGE_F2.fastq)READMELinks to detailed information regarding (1) sample and library preparation and (2) bioinformatic methods","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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      <creatorName nameType="Personal">Townsley, Brad T.</creatorName>
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    <creator>
      <creatorName nameType="Personal">Covington, Michael F.</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
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    <creator>
      <creatorName nameType="Personal">Ichihashi, Yasunori</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Zumstein, Kristina</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
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    <creator>
      <creatorName nameType="Personal">Sinha, Neelima R.</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/05rrcem69" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">University of California, Davis</affiliation>
    </creator>
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  <titles>
    <title>
      Data from: BrAD-seq: Breath Adapter Directional sequencing: a streamlined,
      ultra-simple and fast library preparation protocol for strand specific
      mRNA library construction
    </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>RNA-seq libraries</subject>
    <subject>Strand-specific RNA-seq</subject>
    <subject>BrAD-Seq</subject>
    <subject>Solanum lycopersicum cv M82: LA3475</subject>
    <subject>Illumina</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Bioinformatics</subject>
  </subjects>
  <dates>
    <date dateType="Submitted">2015-05-14T20:27:41Z</date>
    <date dateType="Issued">2015-05-15T19:01:23Z</date>
    <date dateType="Available">2015-05-15T19:01:23Z</date>
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    <description descriptionType="Abstract">
      Next Generation Sequencing (NGS) is driving rapid advancement in
      biological understanding and RNA-sequencing (RNA-seq) has become an
      indispensable tool for biology and medicine. There is a growing need for
      access to these technologies although preparation of NGS libraries remains
      a bottleneck to wider adoption. Here we report a novel method for the
      production of strand specific RNA-seq libraries utilizing inherent
      properties of double-stranded cDNA to capture and incorporate a sequencing
      adapter. Breath Adapter Directional sequencing (BrAD-seq) reduces sample
      handling and requires far fewer enzymatic steps than most available
      methods to produce high quality strand-specific RNA-seq libraries. The
      method we present is optimized for 3-prime Digital Gene Expression (DGE)
      libraries and can easily extend to full transcript coverage shotgun (SHO)
      type strand-specific libraries and is modularized to accommodate a
      diversity of RNA and DNA input materials. BrAD-seq offers a highly
      streamlined and inexpensive option for RNA-seq libraries.
    </description>
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