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  1. eggNOG (View Publication)
    Full Name of the Resource : Evolutionary genealogy of genes: Non-supervised Orthologous Groups
    Resource Category : Databases -> Protein Sequence Databases -> Protein Domain Databases (Protein Classification)

    Brief Description : Next-generation sequencing technologies are now generating a vast amount of sequence data. This leads to a dramatic increase in the number of predicted protein sequences, which serve as a starting point for structural, functional and phylogenomic studies. In such studies, high-throughput comparative analyses are often required to transfer information between organisms, for which the concept of orthology is crucial. The original definition by Fitch describes orthologs as genes that diverged through a speciation event, as opposed to paralogs, which diverged after a duplication event (1). eggNOG, namely evolutionary genealogy of genes Non-supervised Orthologous Groups, is a database providing clusters of orthologous groups for a vast majority of genes covered by the whole tree of life. The database contains a hierarchy of orthologous groups to balance phylogenetic coverage and resolution, and provides automatic function annotation.
    Subject Area : Evolutionary Genealogy

    Institute/s :
    European Molecular Biology Laboratory, Heidelberg, Germany
    Address of Institute/s :
    European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Country : Germany

    Associated Institutes :

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

    Associated Country : Germany; Denmark; Switzerland

    Authors/Contributors : Muller, J.
    Contact Email :,
    Year : 2008
    Language : English

    Keywords : Amino Acid Motifs / genetics; Animals; Archaea; Computational Biology / methods / trends; Databases, Genetic; Databases, Nucleic Acid; Databases, Protein; Fishes; Genome, Bacterial; Humans; Information Storage and Retrieval / methods; Internet; Primates; Protein Structure, Tertiary; Rats; Software