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      eggNOG v3.0: orthologous groups covering 1133 organisms at 41 different taxonomic ranges

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          Abstract

          Orthologous relationships form the basis of most comparative genomic and metagenomic studies and are essential for proper phylogenetic and functional analyses. The third version of the eggNOG database ( http://eggnog.embl.de) contains non-supervised orthologous groups constructed from 1133 organisms, doubling the number of genes with orthology assignment compared to eggNOG v2. The new release is the result of a number of improvements and expansions: (i) the underlying homology searches are now based on the SIMAP database; (ii) the orthologous groups have been extended to 41 levels of selected taxonomic ranges enabling much more fine-grained orthology assignments; and (iii) the newly designed web page is considerably faster with more functionality. In total, eggNOG v3 contains 721 801 orthologous groups, encompassing a total of 4 396 591 genes. Additionally, we updated 4873 and 4850 original COGs and KOGs, respectively, to include all 1133 organisms. At the universal level, covering all three domains of life, 101 208 orthologous groups are available, while the others are applicable at 40 more limited taxonomic ranges. Each group is amended by multiple sequence alignments and maximum-likelihood trees and broad functional descriptions are provided for 450 904 orthologous groups (62.5%).

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          Most cited references38

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          Orthologs, paralogs, and evolutionary genomics.

          Orthologs and paralogs are two fundamentally different types of homologous genes that evolved, respectively, by vertical descent from a single ancestral gene and by duplication. Orthology and paralogy are key concepts of evolutionary genomics. A clear distinction between orthologs and paralogs is critical for the construction of a robust evolutionary classification of genes and reliable functional annotation of newly sequenced genomes. Genome comparisons show that orthologous relationships with genes from taxonomically distant species can be established for the majority of the genes from each sequenced genome. This review examines in depth the definitions and subtypes of orthologs and paralogs, outlines the principal methodological approaches employed for identification of orthology and paralogy, and considers evolutionary and functional implications of these concepts.
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            Distinguishing homologous from analogous proteins.

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              The Arabidopsis Information Resource (TAIR): gene structure and function annotation

              The Arabidopsis Information Resource (TAIR, http://arabidopsis.org) is the model organism database for the fully sequenced and intensively studied model plant Arabidopsis thaliana. Data in TAIR is derived in large part from manual curation of the Arabidopsis research literature and direct submissions from the research community. New developments at TAIR include the addition of the GBrowse genome viewer to the TAIR site, a redesigned home page, navigation structure and portal pages to make the site more intuitive and easier to use, the launch of several TAIR web services and a new genome annotation release (TAIR7) in April 2007. A combination of manual and computational methods were used to generate this release, which contains 27 029 protein-coding genes, 3889 pseudogenes or transposable elements and 1123 ncRNAs (32 041 genes in all, 37 019 gene models). A total of 681 new genes and 1002 new splice variants were added. Overall, 10 098 loci (one-third of all loci from the previous TAIR6 release) were updated for the TAIR7 release.
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                Author and article information

                Journal
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                January 2012
                January 2012
                16 November 2011
                16 November 2011
                : 40
                : D1 , Database issue
                : D284-D289
                Affiliations
                1European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany, 2Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark, 3University of Zurich and Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057 Zurich, Switzerland, 4Biotechnology Center, TU Dresden, 01062 Dresden, Germany, 5Institute of Genetics and Molecular and Cellular Biology, CNRS, INSERM, University of Strasbourg, 6Genetic Diagnostics Laboratory, CHU Strasbourg Nouvel Hôpital Civil, Strasbourg, France, 7Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M55 3E1, Canada, 8University of Vienna, Department of Computational Systems Biology, Althanstrasse 14, 1090 Vienna, Austria and 9Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Strasse 10, 13092 Berlin, Germany
                Author notes
                *To whom correspondence should be addressed. Tel: +49 6221 387 8361; Fax: +49 6221 387 8517; Email: bork@ 123456embl.de
                Correspondence may also be addressed to Lars J. Jensen. Tel: +45 35 32 50 25; Fax: +45 35 32 50 01; Email: lars.juhl.jensen@ 123456cpr.ku.dk
                Correspondence may also be addressed to Christian von Mering. Tel: +41 44 6353147; Fax: +41 44 6356864; Email: mering@ 123456imls.uzh.ch

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Article
                gkr1060
                10.1093/nar/gkr1060
                3245133
                22096231
                1a914244-479b-459a-a6be-c4d500c2491f
                © The Author(s) 2011. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 September 2011
                : 26 October 2011
                : 26 October 2011
                Page count
                Pages: 6
                Categories
                Articles

                Genetics
                Genetics

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