Your browser doesn't support javascript.
loading
Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages.
Davín, Adrián A; Tricou, Théo; Tannier, Eric; de Vienne, Damien M; Szöllosi, Gergely J.
Afiliação
  • Davín AA; MTA-ELTE Lendület Evolutionary Genomics Research Group, Budapest, Hungary.
  • Tricou T; Department of Biological Physics, Eötvös Loránd, Budapest, Hungary.
  • Tannier E; Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, Villeurbanne F-69622, France.
  • de Vienne DM; Univ Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Évolutive UMR5558, Villeurbanne F-69622, France.
  • Szöllosi GJ; INRIA Grenoble Rhône-Alpes, Montbonnot-Saint-Martin F-38334, France.
Bioinformatics ; 36(4): 1286-1288, 2020 02 15.
Article em En | MEDLINE | ID: mdl-31566657
ABSTRACT

SUMMARY:

Here we present Zombi, a tool to simulate the evolution of species, genomes and sequences in silico, that considers for the first time the evolution of genomes in extinct lineages. It also incorporates various features that have not to date been combined in a single simulator, such as the possibility of generating species trees with a pre-defined variation of speciation and extinction rates through time, simulating explicitly intergenic sequences of variable length and outputting gene tree-species tree reconciliations. AVAILABILITY AND IMPLEMENTATION Source code and manual are freely available in https//github.com/AADavin/ZOMBI/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Hungria