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RERconverge: an R package for associating evolutionary rates with convergent traits.
Kowalczyk, Amanda; Meyer, Wynn K; Partha, Raghavendran; Mao, Weiguang; Clark, Nathan L; Chikina, Maria.
Affiliation
  • Kowalczyk A; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Meyer WK; Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Pittsburgh, PA 15213, USA.
  • Partha R; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Mao W; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Clark NL; Joint Carnegie Mellon University-University of Pittsburgh Ph.D. Program in Computational Biology, Pittsburgh, PA 15213, USA.
  • Chikina M; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Bioinformatics ; 35(22): 4815-4817, 2019 11 01.
Article in En | MEDLINE | ID: mdl-31192356
ABSTRACT
MOTIVATION When different lineages of organisms independently adapt to similar environments, selection often acts repeatedly upon the same genes, leading to signatures of convergent evolutionary rate shifts at these genes. With the increasing availability of genome sequences for organisms displaying a variety of convergent traits, the ability to identify genes with such convergent rate signatures would enable new insights into the molecular basis of these traits.

RESULTS:

Here we present the R package RERconverge, which tests for association between relative evolutionary rates of genes and the evolution of traits across a phylogeny. RERconverge can perform associations with binary and continuous traits, and it contains tools for visualization and enrichment analyses of association results. AVAILABILITY AND IMPLEMENTATION RERconverge source code, documentation and a detailed usage walk-through are freely available at https//github.com/nclark-lab/RERconverge. Datasets for mammals, Drosophila and yeast are available at https//bit.ly/2J2QBnj. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome Type of study: Risk_factors_studies Limits: Animals Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome Type of study: Risk_factors_studies Limits: Animals Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Estados Unidos