The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces
Open accessAbstract
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.
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Comparison of gene-level orthology between cat chromosomes A1, B1, C1 and dog chromosomes 28 and 25 using OMA Browser supports the conclusions of inference derived by halSynteny.
“Comparison of gene-level orthology performed between the cat chromosomes A1, B1, and C1 and dog chromosomes 28 and 25 [23] using OMA Browser [24,25] support the conclusions of inference derived by halSynteny.”
From halSynteny: a fast, easy-to-use conserved synteny block construction method for multiple whole-genome alignments (2020) · cites this paper as [25]
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Bedard, K., & Krause, K.-H. (2007) · Physiological Reviews · doi:10.1152/physrev.00044.2005 · Cited by 6,989 · see citing works
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- Authors
- Altenhoff, A. M., Glover, N. M., Train, C.-M., Kaleb, K., Warwick Vesztrocy, A., Dylus, D., de Farias, T. M., Zile, K., Stevenson, C., Long, J., Redestig, H., Gonnet, G. H., & Dessimoz, C.
- Affiliations
- SIB Swiss Institute of Bioinformatics (CH)
- University College London (GB)
- Bayer (Belgium) (BE)
- Corresponding author
- Dessimoz, Christophe
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-11-02
- Volume
- 46
- Issue
- D1
- Pages
- D477-D485
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC5753216
- OpenAlex
- W2766510537
- Cited by
- 221
- References
- 2
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 7 · 2023: 16 · 2022: 22 · 2021: 41 · 2020: 69 · 2019: 37 · 2018: 19
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, other-oa)
- IRIS (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- ETH Zürich Research Collection (cc-by)
- Funders
- University College London
- Eidgenössische Technische Hochschule Zürich
- Université de Lausanne
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council (1618923, BB/M009513/1, BB/L018241/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Keywords
- orthogroups, gene orthology, phylogenetic relationships, protein domain annotation, REST API, semantic web, web browser interface, plants
- MeSH terms
- Protein Domains, Algorithms, Animals, Archaea, Bacteria, Biological Evolution, Fungi, Humans, Phylogeny, Plants, Proteins, Genome, Computational Biology, Internet, Synteny, Databases, Genetic, Molecular Sequence Annotation, Gene Ontology, Web Browser
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