OMA orthology in 2024: improved prokaryote coverage, ancestral and extant GO enrichment, a revamped synteny viewer and more in the OMA Ecosystem
Author:
Affiliation:
1. SIB Swiss Institute of Bioinformatics , 1015 Lausanne , Switzerland
2. ETH Zurich, Computer Science, Universitätstr. 6 , 8092 Zurich , Switzerland
3. Department of Computational Biology, University of Lausanne , 1015 Lausanne , Switzerland
Abstract
Funder
Swiss Institute of Bioinformatics
Swiss National Science Foundation
Publisher
Oxford University Press (OUP)
Subject
Genetics
Link
https://academic.oup.com/nar/article-pdf/52/D1/D513/55040159/gkad1020.pdf
Reference39 articles.
1. Distinguishing homologous from analogous proteins;Fitch;Syst. Zool.,1970
2. Advances and applications in the quest for orthologs;Glover;Mol. Biol. Evol.,2019
3. OMA, A comprehensive, automated project for the identification of orthologs from complete genome data: introduction and first achievements;Dessimoz,2005
4. OMA 2011: orthology inference among 1000 complete genomes;Altenhoff;Nucleic Acids Res.,2011
5. The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements;Altenhoff;Nucleic Acids Res.,2015
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