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ABSTRACT: Summary
Ancient whole-genome duplications (WGDs) have been uncovered in almost all major lineages of life on Earth and the search for traces or remnants of such events has become standard practice in most genome analyses. This is especially true for plants, where ancient WGDs are abundant. Common approaches to find evidence for ancient WGDs include the construction of KS distributions and the analysis of intragenomic colinearity. Despite the increased interest in WGDs and the acknowledgment of their evolutionary importance, user-friendly and comprehensive tools for their analysis are lacking. Here, we present an easy to use command-line tool for KS distribution construction named wgd. The wgd suite provides commonly used KS and colinearity analysis workflows together with tools for modeling and visualization, rendering these analyses accessible to genomics researchers in a convenient manner.Availability and implementation
wgd is free and open source software implemented in Python and is available at https://github.com/arzwa/wgd.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Zwaenepoel A
PROVIDER: S-EPMC6581438 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Zwaenepoel Arthur A Van de Peer Yves Y
Bioinformatics (Oxford, England) 20190601 12
<h4>Summary</h4>Ancient whole-genome duplications (WGDs) have been uncovered in almost all major lineages of life on Earth and the search for traces or remnants of such events has become standard practice in most genome analyses. This is especially true for plants, where ancient WGDs are abundant. Common approaches to find evidence for ancient WGDs include the construction of KS distributions and the analysis of intragenomic colinearity. Despite the increased interest in WGDs and the acknowledgm ...[more]