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The OMA orthology database in 2018: Retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces

Authors :
Altenhoff, Adrian M
Glover, Natasha M
Train, Clément-Marie
Kaleb, Klara
Warwick Vesztrocy, Alex
Dylus, David
de Farias, Tarcisio M
Zile, Karina
Stevenson, Charles
Long, Jiao
Redestig, Henning
Gonnet, Gaston H
Dessimoz, Christophe
Source :
Nucleic Acids Research, 46 (D1), Nucleic acids research, vol. 46, no. D1, pp. D477-D485, Nucleic Acids Research
Publication Year :
2018
Publisher :
Oxford University Press, 2018.

Abstract

The Orthologous Matrix (OMA) is a leading resource to relate genes across many species from all of life. In this update paper, we review the recent algorithmic improvements in the OMA pipeline, describe increases in species coverage (particularly in plants and early-branching eukaryotes) and introduce several new features in the OMA web browser. Notable improvements include: (i) a scalable, interactive viewer for hierarchical orthologous groups; (ii) protein domain annotations and domain-based links between orthologous groups; (iii) functionality to retrieve phylogenetic marker genes for a subset of species of interest; (iv) a new synteny dot plot viewer; and (v) an overhaul of the programmatic access (REST API and semantic web), which will facilitate incorporation of OMA analyses in computational pipelines and integration with other bioinformatic resources. OMA can be freely accessed at https://omabrowser.org. ISSN:1362-4962 ISSN:0301-5610

Details

Language :
English
ISSN :
13624962
Database :
OpenAIRE
Journal :
Nucleic Acids Research, 46 (D1), Nucleic acids research, vol. 46, no. D1, pp. D477-D485, Nucleic Acids Research
Accession number :
edsair.pmid.dedup....9629d077c2f126752bc252fdc89f112b