Your browser doesn't support javascript.
loading
GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data.
Tahmasbi, Rasool; Keller, Matthew C.
Afiliação
  • Tahmasbi R; Institute for Behavioral Genetics (IBG).
  • Keller MC; Institute for Behavioral Genetics (IBG).
Bioinformatics ; 33(2): 294-296, 2017 01 15.
Article em En | MEDLINE | ID: mdl-27659450
ABSTRACT
MOTIVATION Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that simulate genetic data, but they are typically not fast or memory efficient enough to simulate realistic, individual-level genome-wide SNP/sequence data.

RESULTS:

GeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolutionary and life history scenarios and generates individual-level phenotypes and realistic whole-genome sequence or SNP data. GeneEvolve runs forward-in-time, which allows it to provide a wide range of scenarios for mating systems, selection, population size and structure, migration, recombination and environmental effects. The software is designed to use as input data from real or previously simulated phased haplotypes, allowing it to mimic very closely the properties of real genomic data. AVAILABILITY AND IMPLEMENTATION GeneEvolve is freely available at https//github.com/rtahmasbi/GeneEvolve CONTACT Rasool.Tahmasbi@Colorado.eduSupplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Software / Genoma / Análise de Sequência de DNA / Polimorfismo de Nucleotídeo Único / Genética Populacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Software / Genoma / Análise de Sequência de DNA / Polimorfismo de Nucleotídeo Único / Genética Populacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article