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SHRiMP: Accurate Mapping of Short Color-space Reads

PLoS Computational Biology · 2009 · Vol. 5(5) · pp. e1000386–e1000386
Stephen M. RumblePhil LacrouteAdrian V. DalcaMarc FiumeArend SidowMichael Brudno

Abstract

The development of Next Generation Sequencing technologies, capable of sequencing hundreds of millions of short reads (25-70 bp each) in a single run, is opening the door to population genomic studies of non-model species. In this paper we present SHRiMP - the SHort Read Mapping Package: a set of algorithms and methods to map short reads to a genome, even in the presence of a large amount of polymorphism. Our method is based upon a fast read mapping technique, separate thorough alignment methods for regular letter-space as well as AB SOLiD (color-space) reads, and a statistical model for false positive hits. We use SHRiMP to map reads from a newly sequenced Ciona savignyi individual to the reference genome. We demonstrate that SHRiMP can accurately map reads to this highly polymorphic genome, while confirming high heterozygosity of C. savignyi in this second individual. SHRiMP is freely available at http://compbio.cs.toronto.edu/shrimp.

Genomics and Phylogenetic StudiesIdentification and Quantification in FoodGenetic diversity and population structureShrimpBiologyGenomeReference genomePopulationComputational biologyGeneticsGeneFishery

MeSH terms

AlgorithmsAnimalsChromosome MappingComputer SimulationSoftwareUrochordataReproducibility of ResultsModels, StatisticalSequence AlignmentSequence Analysis, DNA

Funding

  • National Science Foundation
  • Mitacs
  • Canadian Institutes of Health Research
  • Natural Sciences and Engineering Research Council of Canada
Citations
587
FWCI
24.34
field-weighted impact
References
26
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100%
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Citations per year
References
Identification of common molecular subsequences
Journal of Molecular Biology · 1981 · 10,021 citations
SOAP: short oligonucleotide alignment program
Bioinformatics · 2008 · 3,664 citations
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