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Identifying orthologs with OMA: A primer.
Zahn-Zabal, Monique; Dessimoz, Christophe; Glover, Natasha M.
Afiliação
  • Zahn-Zabal M; Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
  • Dessimoz C; Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
  • Glover NM; Department of Computational Biology, University of Lausanne, Lausanne, 1015, Switzerland.
F1000Res ; 9: 27, 2020.
Article em En | MEDLINE | ID: mdl-32089838
The Orthologous Matrix (OMA) is a method and database that allows users to identify orthologs among many genomes. OMA provides three different types of orthologs: pairwise orthologs, OMA Groups and Hierarchical Orthologous Groups (HOGs). This Primer is organized in two parts. In the first part, we provide all the necessary background information to understand the concepts of orthology, how we infer them and the different subtypes of orthology in OMA, as well as what types of analyses they should be used for. In the second part, we describe protocols for using the OMA browser to find a specific gene and its various types of orthologs. By the end of the Primer, readers should be able to (i) understand homology and the different types of orthologs reported in OMA, (ii) understand the best type of orthologs to use for a particular analysis; (iii) find particular genes of interest in the OMA browser; and (iv) identify orthologs for a given gene.  The data can be freely accessed from the OMA browser at https://omabrowser.org.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma / Genômica 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 Assunto principal: Software / Genoma / Genômica Idioma: En Revista: F1000Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suíça