MetaPhOrs 2.0: integrative, phylogeny-based inference of orthology and paralogy across the tree of life
Author
Chorostecki, Uciel
Molina, Manuel
Pryszcz, Leszek P.
Gabaldón, Toni
Publication date
2020ISSN
0305-1048
Abstract
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.
Document Type
Article
Document version
Published version
Language
English
Subject (CDU)
5 - Natural Sciences
Keywords
Ciència i Matemàtiques
Ciencias y Matemáticas
Science and Mathematics
Pages
4
Publisher
Oxford University Press
Collection
48; W1
Is part of
Nucleic Acids Research
Citation
Chorostecki, Uciel; Molina, Manuel; Pryszcz, Leszek P. [et al.]. MetaPhOrs 2.0: integrative, phylogeny-based inference of orthology and paralogy across the tree of life. Nucleic Acids Research, 2020, 48(W1), W553-557. Disponible en: <https://academic.oup.com/nar/article/48/W1/W553/5826172>. Fecha de acceso: 7 feb. 2023. DOI: 10.1093/nar/gkaa282
This item appears in the following Collection(s)
- Ciències Bàsiques [65]
Rights
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com