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

Morris A. Swertz*, K. Joeri van der 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

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

We 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.

Original languageEnglish
Article number27
Number of pages15
JournalGenome Biology
Volume11
Issue number3
DOIs
Publication statusPublished - 2010

Keywords

  • QUANTITATIVE TRAIT LOCI
  • GENE-EXPRESSION
  • FUNCTIONAL GENOMICS
  • DATA INTEGRATION
  • SYSTEMS BIOLOGY
  • BIOINFORMATICS
  • IDENTIFICATION
  • BIOCONDUCTOR
  • ARABIDOPSIS
  • CHALLENGES

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