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Nucleic Acids Res. 2015 Jan;43(Database issue):D240-9. doi: 10.1093/nar/gku1158. Epub 2014 Nov 15.

The OMA orthology database in 2015: function predictions, better plant support, synteny view and other improvements.

Author information

1
University College London, Gower Street, London WC1E 6BT, UK Swiss Institute of Bioinformatics, Universitätstr. 6, 8092 Zurich, Switzerland ETH Zurich, Computer Science, Universitätstr. 6, 8092 Zurich, Switzerland.
2
University College London, Gower Street, London WC1E 6BT, UK Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France Bayer CropScience NV, Technologiepark 38, 9052 Gent, Belgium.
3
ETH Zurich, Computer Science, Universitätstr. 6, 8092 Zurich, Switzerland.
4
University College London, Gower Street, London WC1E 6BT, UK.
5
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
6
Bayer CropScience NV, Technologiepark 38, 9052 Gent, Belgium.
7
Swiss Institute of Bioinformatics, Universitätstr. 6, 8092 Zurich, Switzerland ETH Zurich, Computer Science, Universitätstr. 6, 8092 Zurich, Switzerland.
8
University College London, Gower Street, London WC1E 6BT, UK European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK c.dessimoz@ucl.ac.uk.

Abstract

The Orthologous Matrix (OMA) project is a method and associated database inferring evolutionary relationships amongst currently 1706 complete proteomes (i.e. the protein sequence associated for every protein-coding gene in all genomes). In this update article, we present six major new developments in OMA: (i) a new web interface; (ii) Gene Ontology function predictions as part of the OMA pipeline; (iii) better support for plant genomes and in particular homeologs in the wheat genome; (iv) a new synteny viewer providing the genomic context of orthologs; (v) statically computed hierarchical orthologous groups subsets downloadable in OrthoXML format; and (vi) possibility to export parts of the all-against-all computations and to combine them with custom data for 'client-side' orthology prediction. OMA can be accessed through the OMA Browser and various programmatic interfaces at http://omabrowser.org.

PMID:
25399418
PMCID:
PMC4383958
DOI:
10.1093/nar/gku1158
[Indexed for MEDLINE]
Free PMC Article

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