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MetaPhOrs 2.0: integrative, phylogeny-based inference of orthology and paralogy across the tree of life.
Chorostecki, Uciel; Molina, Manuel; Pryszcz, Leszek P; Gabaldón, Toni.
Afiliação
  • Chorostecki U; Barcelona Supercomputing Centre (BSC-CNS), 08034 Barcelona, Spain.
  • Molina M; Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain.
  • Pryszcz LP; Barcelona Supercomputing Centre (BSC-CNS), 08034 Barcelona, Spain.
  • Gabaldón T; Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain.
Nucleic Acids Res ; 48(W1): W553-W557, 2020 07 02.
Article em En | MEDLINE | ID: mdl-32343307
Inferring homology relationships across genes in different species is a central task in comparative genomics. Therefore, a large number of resources and methods have been developed over the years. Some public databases include phylogenetic trees of homologous gene families which can be used to further differentiate homology relationships into orthology and paralogy. MetaPhOrs is a web server that integrates phylogenetic information from different sources to provide orthology and paralogy relationships based on a common phylogeny-based predictive algorithm and associated with a consistency-based confidence score. Here we describe the latest version of the web server which includes major new implementations and provides orthology and paralogy relationships derived from ∼8.2 million gene family trees-from 13 different source repositories across ∼4000 species with sequenced genomes. MetaPhOrs server is freely available, without registration, at http://orthology.phylomedb.org/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Família Multigênica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Software / Família Multigênica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article