Your browser doesn't support javascript.
loading
How to build phylogenetic species trees with OMA.
Dylus, David; Nevers, Yannis; Altenhoff, Adrian M; Gürtler, Antoine; Dessimoz, Christophe; Glover, Natasha M.
Afiliação
  • Dylus D; Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
  • Nevers Y; Department of Computational Biology, University of Lausanne, Lausanne, 1015, Switzerland.
  • Altenhoff AM; Center for Integrative Genomics, University of Lausanne, Lausanne, 1015, Switzerland.
  • Gürtler A; Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
  • Dessimoz C; Department of Computational Biology, University of Lausanne, Lausanne, 1015, Switzerland.
  • Glover NM; Center for Integrative Genomics, University of Lausanne, Lausanne, 1015, Switzerland.
F1000Res ; 9: 511, 2020.
Article em En | MEDLINE | ID: mdl-35722083
ABSTRACT
Knowledge of species phylogeny is critical to many fields of biology. In an era of genome data availability, the most common way to make a phylogenetic species tree is by using multiple protein-coding genes, conserved in multiple species. This methodology is composed of several

steps:

orthology inference, multiple sequence alignment and inference of the phylogeny with dedicated tools. This can be a difficult task, and orthology inference, in particular, is usually computationally intensive and error prone if done ad hoc. This tutorial provides protocols to make use of OMA Orthologous Groups, a set of genes all orthologous to each other, to infer a phylogenetic species tree. It is designed to be user-friendly and computationally inexpensive, by providing two options (1) Using only precomputed groups with species available on the OMA Browser, or (2) Computing orthologs using OMA Standalone for additional species, with the option of using precomputed orthology relations for those present in OMA. A protocol for downstream analyses is provided as well, including creating a supermatrix, tree inference, and visualization. All protocols use publicly available software, and we provide scripts and code snippets to facilitate data handling. The protocols are accompanied with practical examples.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: F1000Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: F1000Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suíça