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Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: https://omabrowser.org
Full name: Orthologous MAtrix
Description: Web based database interface for orthology prediction
Year founded: 2018
Last update:
Version:
Accessibility:
Manual:
Accessible
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Country/Region: United Kingdom

Contact information

University/Institution: University College London
Address: Dept. of Computer Science, University College London, Gower St, London WC1E 6BT, UK
City:
Province/State:
Country/Region: United Kingdom
Contact name (PI/Team): Dessimoz C
Contact email (PI/Helpdesk): christophe.dessimoz@unil.ch

Publications

33174605
OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more. [PMID: 33174605]
Altenhoff AM, Train CM, Gilbert KJ, Mediratta I, Mendes de Farias T, Moi D, Nevers Y, Radoykova HS, Rossier V, Warwick Vesztrocy A, Glover NM, Dessimoz C.

OMA is an established resource to elucidate evolutionary relationships among genes from currently 2326 genomes covering all domains of life. OMA provides pairwise and groupwise orthologs, functional annotations, local and global gene order conservation (synteny) information, among many other functions. This update paper describes the reorganisation of the database into gene-, group- and genome-centric pages. Other new and improved features are detailed, such as reporting of the evolutionarily best conserved isoforms of alternatively spliced genes, the inferred local order of ancestral genes, phylogenetic profiling, better cross-references, fast genome mapping, semantic data sharing via RDF, as well as a special coronavirus OMA with 119 viruses from the Nidovirales order, including SARS-CoV-2, the agent of the COVID-19 pandemic. We conclude with improvements to the documentation of the resource through primers, tutorials and short videos. OMA is accessible at https://omabrowser.org.

Nucleic Acids Res. 2021:49(D1) | 75 Citations (from Europe PMC, 2024-04-06)
32089838
Identifying orthologs with OMA: A primer. [PMID: 32089838]
Monique Zahn-Zabal, Christophe Dessimoz, Natasha M Glover

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.

F1000Res. 2020:9() | 16 Citations (from Europe PMC, 2024-04-06)
29106550
The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces. [PMID: 29106550]
Altenhoff AM, Glover NM, Train CM, Kaleb K, Warwick Vesztrocy A, Dylus D, de Farias TM, Zile K, Stevenson C, Long J, Redestig H, Gonnet GH, Dessimoz C.

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.

Nucleic Acids Res. 2018:46(D1) | 136 Citations (from Europe PMC, 2024-04-06)

Ranking

All databases:
302/6000 (94.983%)
Phylogeny and homology:
16/259 (94.208%)
302
Total Rank
223
Citations
37.167
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Record metadata

Created on: 2018-01-29
Curated by:
Dong Zou [2021-10-19]
Yitong Pan [2020-11-08]
Lina Ma [2018-04-23]
Alia Rafique [2018-04-23]
Alia Rafique [2018-04-16]
Yang Zhang [2018-01-28]