XGAP: A uniform and extensible data model and software platform for genotype and phenotype experiments

Morris A. Swertz, K. Joeri V D Velde, Bruno M. Tesson, Richard A. Scheltema, Danny Arends, Gonzalo Vera, Rudi Alberts, Martijn Dijkstra, Paul Schofield, Klaus Schughart, John M. Hancock, Damian Smedley, Katy Wolstencroft, Carole Goble, Engbert O. de Brock, Andrew R. Jones, Helen E. Parkinson, Ritsert C. Jansen

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Present an extensible software model for the genotype and phenotype community, XGAP. Readers can download a standard XGAP (http://www.xgap.org) or auto-generate a custom version using MOLGENIS with programming interfaces to R-software and web-services or user interfaces for biologists. XGAP has simple load formats for any type of genotype, epigenotype, transcript, protein, metabolite or other phenotype data. Current functionality includes tools ranging from eQTL analysis in mouse to genome-wide association studies in humans. © 2010 Swertz et al.; licensee BioMed Central Ltd.
    Original languageEnglish
    Article numberr27
    JournalGenome biology
    Volume11
    Issue number3
    DOIs
    Publication statusPublished - 9 Mar 2010

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