Pyvolve: A Flexible Python Module for Simulating Sequences along Phylogenies

PLoS One. 2015 Sep 23;10(9):e0139047. doi: 10.1371/journal.pone.0139047. eCollection 2015.

Abstract

We introduce Pyvolve, a flexible Python module for simulating genetic data along a phylogeny using continuous-time Markov models of sequence evolution. Easily incorporated into Python bioinformatics pipelines, Pyvolve can simulate sequences according to most standard models of nucleotide, amino-acid, and codon sequence evolution. All model parameters are fully customizable. Users can additionally specify custom evolutionary models, with custom rate matrices and/or states to evolve. This flexibility makes Pyvolve a convenient framework not only for simulating sequences under a wide variety of conditions, but also for developing and testing new evolutionary models. Pyvolve is an open-source project under a FreeBSD license, and it is available for download, along with a detailed user-manual and example scripts, from http://github.com/sjspielman/pyvolve.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Amino Acid Sequence / genetics
  • Animals
  • Base Sequence / genetics*
  • Computer Simulation*
  • Genomics / methods
  • Humans
  • Markov Chains
  • Models, Genetic*
  • Phylogeny*