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SHRiMP: Accurate Mapping of Short Color-space Reads

Overview of attention for article published in PLoS Computational Biology, May 2009
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Title
SHRiMP: Accurate Mapping of Short Color-space Reads
Published in
PLoS Computational Biology, May 2009
DOI 10.1371/journal.pcbi.1000386
Pubmed ID
Authors

Stephen M. Rumble, Phil Lacroute, Adrian V. Dalca, Marc Fiume, Arend Sidow, Michael 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.

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Geographical breakdown

Country Count As %
United States 26 5%
Brazil 8 1%
United Kingdom 8 1%
Netherlands 6 1%
Italy 5 <1%
France 5 <1%
Germany 4 <1%
Australia 3 <1%
Mexico 3 <1%
Other 20 3%
Unknown 484 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 150 26%
Researcher 141 25%
Student > Master 69 12%
Professor > Associate Professor 38 7%
Student > Bachelor 34 6%
Other 112 20%
Unknown 28 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 345 60%
Computer Science 69 12%
Biochemistry, Genetics and Molecular Biology 60 10%
Medicine and Dentistry 15 3%
Engineering 11 2%
Other 34 6%
Unknown 38 7%