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. 2011 Dec 15;27(24):3435-6.
doi: 10.1093/bioinformatics/btr589. Epub 2011 Oct 23.

PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq)

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PoPoolation2: identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq)

Robert Kofler et al. Bioinformatics. .

Abstract

Summary: Sequencing pooled DNA samples (Pool-Seq) is the most cost-effective approach for the genome-wide comparison of population samples. Here, we introduce PoPoolation2, the first software tool specifically designed for the comparison of populations with Pool-Seq data. PoPoolation2 implements a range of commonly used measures of differentiation (F(ST), Fisher's exact test and Cochran-Mantel-Haenszel test) that can be applied on different scales (windows, genes, exons, SNPs). The result may be visualized with the widely used Integrated Genomics Viewer.

Availability and implementation: PoPoolation2 is implemented in Perl and R. It is freely available on http://code.google.com/p/popoolation2/

Contact: christian.schloetterer@vetmeduni.ac.at

Supplementary information: Manual: http://code.google.com/p/popoolation2/wiki/Manual Test data and tutorial: http://code.google.com/p/popoolation2/wiki/Tutorial Validation: http://code.google.com/p/popoolation2/wiki/Validation.

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Figures

Fig. 1.
Fig. 1.
Expected versus observed values for the tests implemented in PoPoolation2 using 10 000 simulated SNPs. (A) allele frequency difference; (B) FST; (C) Fisher's exact test [−log 10(P-value)]; (D) CMH test [−log 10(P-value)].

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