SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations-Reference-Cited by-同舟云学术

SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations

Published:2015-01-14 Issue:1 Volume:4 Page:
ISSN:2047-217X
Container-title:GigaScience
language:en
Short-container-title:

Author:

Guiblet Wilfried M¹,Zhao Kai²,O’Brien Stephen J³⁴,Massey Steven E⁵,Roca Alfred L²,Oleksyk Taras K¹

Affiliation:

1. Biology Department, University of Puerto Rico at Mayagüez, Mayagüez 00680, Puerto Rico

2. Department of Animal Sciences, University of Illinois at Urbana–Champaign, Urbana 61801 Illinois, USA

3. Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg University, St. Petersburg 199034, Russia

4. Oceanographic Center, Nova Southeastern University, Ft. Lauderdale 33004 Florida, USA

5. Biology Department, University of Puerto Rico at Rio Piedras, Rio Piedras 00931, Puerto Rico

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

Link

http://academic.oup.com/gigascience/article-pdf/4/1/2047-217X-4-1/25512352/13742_2014_article_65.pdf

Reference10 articles.

1. Genetics and the understanding of selection;Hurst;Nat Rev Genet,2009

2. Estimating F-statistics for the analysis of population structure;Weir;Evolution,1984

3. Identifying selected regions from heterozygosity and divergence using a light-coverage genomic dataset from two human populations;Oleksyk;PLoS One,2008

4. Evidence for selection at HIV host susceptibility genes in a West Central African human population;Zhao;BMC Evol Biol,2012

5. Genome-wide scans for footprints of natural selection;Oleksyk;Phil Trans R Soc B,2010

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