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

2.50
Hdl Handle:
http://hdl.handle.net/10033/134179
Title:
XGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments.
Authors:
Swertz, Morris A; Velde, K Joeri van der; Tesson, Bruno M; Scheltema, Richard A; Arends, Danny; Vera, Gonzalo; Alberts, Rudi; Dijkstra, Martijn; Schofield, Paul; Schughart, Klaus ( 0000-0002-6824-7523 ) ; Hancock, John M; Smedley, Damian; Wolstencroft, Katy; Goble, Carole; de Brock, Engbert O; Jones, Andrew R; Parkinson, Helen E; Jansen, Ritsert C
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.
Affiliation:
Genomics Coordination Center, Department of Genetics, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands. m.a.swertz@rug.nl
Citation:
XGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments. 2010, 11 (3):R27 Genome Biol.
Journal:
Genome biology
Issue Date:
2010
URI:
http://hdl.handle.net/10033/134179
DOI:
10.1186/gb-2010-11-3-r27
PubMed ID:
20214801
Type:
Article
Language:
en
ISSN:
1465-6914
Appears in Collections:
publications of the department infection genetics (INFG)

Full metadata record

DC FieldValue Language
dc.contributor.authorSwertz, Morris Aen
dc.contributor.authorVelde, K Joeri van deren
dc.contributor.authorTesson, Bruno Men
dc.contributor.authorScheltema, Richard Aen
dc.contributor.authorArends, Dannyen
dc.contributor.authorVera, Gonzaloen
dc.contributor.authorAlberts, Rudien
dc.contributor.authorDijkstra, Martijnen
dc.contributor.authorSchofield, Paulen
dc.contributor.authorSchughart, Klausen
dc.contributor.authorHancock, John Men
dc.contributor.authorSmedley, Damianen
dc.contributor.authorWolstencroft, Katyen
dc.contributor.authorGoble, Caroleen
dc.contributor.authorde Brock, Engbert Oen
dc.contributor.authorJones, Andrew Ren
dc.contributor.authorParkinson, Helen Een
dc.contributor.authorJansen, Ritsert Cen
dc.date.accessioned2011-06-22T12:36:49Zen
dc.date.available2011-06-22T12:36:49Zen
dc.date.issued2010en
dc.identifier.citationXGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments. 2010, 11 (3):R27 Genome Biol.en
dc.identifier.issn1465-6914en
dc.identifier.pmid20214801en
dc.identifier.doi10.1186/gb-2010-11-3-r27en
dc.identifier.urihttp://hdl.handle.net/10033/134179en
dc.description.abstractWe 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.en
dc.language.isoenen
dc.subject.meshAnimalsen
dc.subject.meshGenetic Association Studiesen
dc.subject.meshGenomicsen
dc.subject.meshHumansen
dc.subject.meshMiceen
dc.subject.meshModels, Geneticen
dc.subject.meshQuantitative Trait Locien
dc.subject.meshSoftwareen
dc.titleXGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments.en
dc.typeArticleen
dc.contributor.departmentGenomics Coordination Center, Department of Genetics, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands. m.a.swertz@rug.nlen
dc.identifier.journalGenome biologyen

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