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 journalArticleAcademicpeer-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
JournalGenome Biology
Volume11
Issue number3
DOIs
Publication statusPublished - 9 Mar 2010
Externally publishedYes

Keywords

  • article
  • computer interface
  • computer model
  • software
  • genetic association
  • genotype
  • phenotype

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