CoGenT++: an extensive and extensible data environment for computational genomics

Paul Janssen, Leonid Goldovsky, Dag Ahren, Benjamin Audit, Ildefonso Cases, Nikos Darzenta, Anton J. Enright, Nuria López-Bigas, Jose M. Peregrin-Alvarez, Mike Smith, Sophia Tsoka, Victor Kunin, Christos Ouzounis, Paul Borgermans, Louis Geerts, Rafi Benotmane

    Research outputpeer-review

    Abstract

    Motivation: CoGenT++ is a data environment for computational research in comparative and functional genomics, designed to address issues of consistency, reproducibility, scalability and accessibility. Description: CoGenT++ facilitates the re-distribution of all fully sequenced and published genomes, storing information about species, gene names and protein sequences. We describe our scalable implementation of ProXSim, a continually updated all-against-all similarity database, which stores pairwise relationships between all genome sequences. Based on these similarities, derived databases are generated for gene fusions—AllFuse, putative orthologs—OFAM, protein families—TRIBES, phylogenetic profiles—ProfUse and phylogenetic trees. Extensions based on the CoGenT++ environment include disease gene prediction, pattern discovery, automated domain detection, genome annotation and ancestral reconstruction. Conclusion: CoGenT++ provides a comprehensive environment for computational genomics, accessible primarily for large-scale analyses as well as manual browsing. Availability: The database and component downloads are accessible at http://cgg.ebi.ac.uk/cogentpp.html
    Original languageEnglish
    Pages (from-to)3806-3810
    JournalBioinformatics
    Volume21
    Issue number19
    DOIs
    StatePublished - 1 Oct 2005

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