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Nucleic Acids Research Advance Access published online on October 16, 2007

Nucleic Acids Research, doi:10.1093/nar/gkm796
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Database Issue

eggNOG: automated construction and annotation of orthologous groups of genes

Lars Juhl Jensen1, Philippe Julien1, Michael Kuhn1, Christian von Mering2, Jean Muller1, Tobias Doerks1 and Peer Bork1,3,*

1European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany, 2University of Zurich and Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057 Zurich, Switzerland and 3Max-Delbrück-Centre for Molecular Medicine, Robert-Rössle-Strrasse 10, 13092 Berlin, Germany

* To whom correspondence should be addressed. Tel: +49 6221 387 526; Fax: +49 6221 387 517; Email: bork{at}embl.de

Received August 14, 2007. Revised September 14, 2007. Accepted September 17, 2007.

The identification of orthologous genes forms the basis for most comparative genomics studies. Existing approaches either lack functional annotation of the identified orthologous groups, hampering the interpretation of subsequent results, or are manually annotated and thus lag behind the rapid sequencing of new genomes. Here we present the eggNOG database (‘evolutionary genealogy of genes: Non-supervised Orthologous Groups’), which contains orthologous groups constructed from Smith–Waterman alignments through identification of reciprocal best matches and triangular linkage clustering. Applying this procedure to 312 bacterial, 26 archaeal and 35 eukaryotic genomes yielded 43 582 course-grained orthologous groups of which 9724 are extended versions of those from the original COG/KOG database. We also constructed more fine-grained groups for selected subsets of organisms, such as the 19 914 mammalian orthologous groups. We automatically annotated our non-supervised orthologous groups with functional descriptions, which were derived by identifying common denominators for the genes based on their individual textual descriptions, annotated functional categories, and predicted protein domains. The orthologous groups in eggNOG contain 1 241 751 genes and provide at least a broad functional description for 77% of them. Users can query the resource for individual genes via a web interface or download the complete set of orthologous groups at http://eggnog.embl.de.


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


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