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fastsimcoal2: demographic inference under complex evolutionary scenarios.
Excoffier, Laurent; Marchi, Nina; Marques, David Alexander; Matthey-Doret, Remi; Gouy, Alexandre; Sousa, Vitor C.
Afiliación
  • Excoffier L; Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland.
  • Marchi N; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
  • Marques DA; Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland.
  • Matthey-Doret R; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
  • Gouy A; Life Science Division, Natural History Museum Basel, 4051 Basel, Switzerland.
  • Sousa VC; Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland.
Bioinformatics ; 37(24): 4882-4885, 2021 12 11.
Article en En | MEDLINE | ID: mdl-34164653
ABSTRACT
MOTIVATION fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood framework.

RESULTS:

Other improvements include multi-threading, handling of population inbreeding, extended input file syntax facilitating the description of complex demographic scenarios, and more efficient simulations of sparsely structured populations and of large chromosomes. AVAILABILITY AND IMPLEMENTATION fastsimcoal2 is freely available on http//cmpg.unibe.ch/software/fastsimcoal2/. It includes console versions for Linux, Windows and MacOS, additional scripts for the analysis and visualization of simulated and estimated scenarios, as well as a detailed documentation and ready-to-use examples.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genética de Población Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genética de Población Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Suiza