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PMID: 19480708 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

mbs: modifying Hudson's ms software to generate samples of DNA sequences with a biallelic site under selection.

BMC bioinformatics ·Vol. 10 ·2009-05-30 ·Pages 166

Teshima KM, Innan H

Abstract

The pattern of single nucleotide polymorphisms, or SNPs, contains a tremendous amount of information with respect to the mechanisms of the micro-evolutionary process of a species. The inference of the roles of these mechanisms, including natural selection, relies heavily on computer simulations. A coalescent simulation is extremely powerful in generating a large number of samples of DNA sequences from a population (species) when all mutations are neutral, and Hudson's ms software is frequently used for this purpose.However, it has been difficult to incorporate natural selection into the coalescent framework. We herein present a software application to generate samples of DNA sequences when there is a biallelic site targeted by selection. This software application, referred to as mbs, is developed by modifying Hudson's ms. The mbs software is so flexible that it can incorporate any arbitrary histories of population size changes and any mode of selection as long as selection is operating on a biallelic site. mbs provides opportunities to investigate the effect of any mode of selection on the pattern of SNPs under various demography.

MeSH Terms
Alleles Base Sequence Computational Biology/methods DNA/chemistry Demography Genetics, Population Polymorphism, Single Nucleotide Selection, Genetic Software
Chemicals
DNA
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Teshima Kosuke M
Hayama Center for Advanced Studies, Graduate University for Advanced Studies, Hayama, Kanagawa 240-0193, Japan. [email protected]
Innan Hideki
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6 references, click to expand
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2009-05-30
Epub
2009-00-30
Pages
166
Language
English
Region
England
NLM ID
100965194
PMCID
PMC2693440
Subset
IM
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