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 voor dit werk

OnderzoeksoutputAcademicpeer review

21 Citaten (Scopus)
415 Downloads (Pure)

Samenvatting

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.

Originele taal-2English
Artikelnummer27
Aantal pagina's15
TijdschriftGenome Biology
Volume11
Nummer van het tijdschrift3
DOI's
StatusPublished - 2010

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