Literature DB >> 17545180

OMA Browser--exploring orthologous relations across 352 complete genomes.

Adrian Schneider1, Christophe Dessimoz, Gaston H Gonnet.   

Abstract

MOTIVATION: Inference of the evolutionary relation between proteins, in particular the identification of orthologs, is a central problem in comparative genomics. Several large-scale efforts with various methodologies and scope tackle this problem, including OMA (the Orthologous MAtrix project).
RESULTS: Based on the results of the OMA project, we introduce here the OMA Browser, a web-based tool allowing the exploration of orthologous relations over 352 complete genomes. Orthologs can be viewed as groups across species, but also at the level of sequence pairs, allowing the distinction among one-to-one, one-to-many and many-to-many orthologs. AVAILABILITY: http://omabrowser.org.

Mesh:

Year:  2007        PMID: 17545180     DOI: 10.1093/bioinformatics/btm295

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  59 in total

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5.  ProPhylER: a curated online resource for protein function and structure based on evolutionary constraint analyses.

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6.  The other side of comparative genomics: genes with no orthologs between the cow and other mammalian species.

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7.  Estimates of positive Darwinian selection are inflated by errors in sequencing, annotation, and alignment.

Authors:  Adrian Schneider; Alexander Souvorov; Niv Sabath; Giddy Landan; Gaston H Gonnet; Dan Graur
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8.  MBGD update 2010: toward a comprehensive resource for exploring microbial genome diversity.

Authors:  Ikuo Uchiyama; Toshio Higuchi; Mikihiko Kawai
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

9.  Synorth: exploring the evolution of synteny and long-range regulatory interactions in vertebrate genomes.

Authors:  Xianjun Dong; David Fredman; Boris Lenhard
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10.  Algorithm of OMA for large-scale orthology inference.

Authors:  Alexander C J Roth; Gaston H Gonnet; Christophe Dessimoz
Journal:  BMC Bioinformatics       Date:  2008-12-04       Impact factor: 3.169

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