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DistMap: A Toolkit for Distributed Short Read Mapping on a Hadoop Cluster

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  • Ram Vinay Pandey
  • Christian Schlötterer

Abstract

With the rapid and steady increase of next generation sequencing data output, the mapping of short reads has become a major data analysis bottleneck. On a single computer, it can take several days to map the vast quantity of reads produced from a single Illumina HiSeq lane. In an attempt to ameliorate this bottleneck we present a new tool, DistMap - a modular, scalable and integrated workflow to map reads in the Hadoop distributed computing framework. DistMap is easy to use, currently supports nine different short read mapping tools and can be run on all Unix-based operating systems. It accepts reads in FASTQ format as input and provides mapped reads in a SAM/BAM format. DistMap supports both paired-end and single-end reads thereby allowing the mapping of read data produced by different sequencing platforms. DistMap is available from http://code.google.com/p/distmap/

Suggested Citation

  • Ram Vinay Pandey & Christian Schlötterer, 2013. "DistMap: A Toolkit for Distributed Short Read Mapping on a Hadoop Cluster," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-1, August.
    • Handle: RePEc:plo:pone00:0072614
    DOI: 10.1371/journal.pone.0072614
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