Published in

BioMed Central, Genome Biology, 3(11), p. R27

DOI: 10.1186/gb-2010-11-3-r27

Links

Tools

Export citation

Search in Google Scholar

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

Journal article published in 2010 by K. Joeri van der Velde, Katy Wolstencroft, Engbert O. de Brock, Morris A. Swertz, K. Joeri van der Velde, van d. K. J. Velde, van der K. Joeri Velde, Bruno M. Tesson, Richard A. Scheltema, Gonzalo Vera, Damian Smedley, Danny Arends, K. Joeri van der Velde, van der Velde KJ Tesson BM Scheltema RA Arends D Vera G Alberts R Dijkstra M Schofield P Schughart K Hancock JM Smedley D Wolstencroft K Goble C de Brock EO Jones AR Parkinson H Casimir CO Gen2phen GT Jansen Rc Swertz, Rudi Alberts and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are. ; 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.