<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<item>
  <id>06104415</id>
  <dt>a</dt>
  <an>06104415</an>
  <augroup>
    <au>Chapuis, Guillaume</au>
    <au>Chikhi, Rayan</au>
    <au>Lavenier, Dominique</au>
  </augroup>
  <ti>Parallel and memory-efficient reads indexing for genome assembly.</ti>
  <so>Wyrzykowski, Roman (ed.) et al., Parallel processing and applied mathematics. 9th international conference, PPAM 2011, Torun, Poland, September 11--14, 2011. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-31499-5/pbk). Lecture Notes in Computer Science 7204, 272-280 (2012).</so>
  <py>2012</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-31500-8_28</li>
  </ligroup>
  <abgroup>
    <ab>Summary: As genomes, transcriptomes and meta-genomes are being sequenced at a faster pace than ever, there is a pressing need for efficient genome assembly methods. Two practical issues in assembly are heavy memory usage and long execution time during the read indexing phase. In this article, a parallel and memory-efficient method is proposed for reads indexing prior to assembly. Specifically, a hash-based structure that stores a reduced amount of read information is designed. Erroneous entries are filtered on the fly during index construction. A prototype implementation has been designed and applied to actual Illumina short reads. Benchmark evaluation shows that this indexing method requires significantly less memory than those from popular assemblers.</ab>
    <rv></rv>
  </abgroup>
</item>