PoPoolation: a toolbox for population genetic analysis of next generation sequencing data from pooled individuals

Kofler, Robert, Orozco-terWengel, Pablo ORCID: https://orcid.org/0000-0002-7951-4148, De Maio, Nicola, Pandey, Ram Vinay, Nolte, Viola, Futschik, Andreas, Kosiol, Carolin and Schlötterer, Christian 2011. PoPoolation: a toolbox for population genetic analysis of next generation sequencing data from pooled individuals. PLoS ONE 6 (1) , e15925. 10.1371/journal.pone.0015925

Full text not available from this repository.

Abstract

Recent statistical analyses suggest that sequencing of pooled samples provides a cost effective approach to determine genome-wide population genetic parameters. Here we introduce PoPoolation, a toolbox specifically designed for the population genetic analysis of sequence data from pooled individuals. PoPoolation calculates estimates of θWatterson, θπ, and Tajima's D that account for the bias introduced by pooling and sequencing errors, as well as divergence between species. Results of genome-wide analyses can be graphically displayed in a sliding window plot. PoPoolation is written in Perl and R and it builds on commonly used data formats. Its source code can be downloaded from http://code.google.com/p/popoolation/. Furthermore, we evaluate the influence of mapping algorithms, sequencing errors, and read coverage on the accuracy of population genetic parameter estimates from pooled data.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences
Publisher:	Public Library of Science
ISSN:	1932-6203
Last Modified:	27 Oct 2022 08:44
URI:	https://orca.cardiff.ac.uk/id/eprint/63267

Citation Data

Cited 346 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item