Literature DB >> 20214801

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

Morris A Swertz1, 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.   

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.

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Mesh：

Year:  2010        PMID： 20214801      PMCID： PMC2864567          DOI： 10.1186/gb-2010-11-3-r27

Source DB:  PubMed          Journal:  Genome Biol        ISSN： 1474-7596            Impact factor:   13.583


  55 in total

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  13 in total

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4.  The MOLGENIS toolkit: rapid prototyping of biosoftware at the push of a button.

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5.  SYSGENET: a meeting report from a new European network for systems genetics.

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6.  VarioML framework for comprehensive variation data representation and exchange.

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Review 8.  Bioinformatics tools and database resources for systems genetics analysis in mice--a short review and an evaluation of future needs.

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9.  xQTL workbench: a scalable web environment for multi-level QTL analysis.

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Journal:  Bioinformatics       Date:  2012-02-03       Impact factor: 6.937

10.  WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp.

Authors:  L Basten Snoek; K Joeri Van der Velde; Danny Arends; Yang Li; Antje Beyer; Mark Elvin; Jasmin Fisher; Alex Hajnal; Michael O Hengartner; Gino B Poulin; Miriam Rodriguez; Tobias Schmid; Sabine Schrimpf; Feng Xue; Ritsert C Jansen; Jan E Kammenga; Morris A Swertz
Journal:  Nucleic Acids Res       Date:  2012-11-24       Impact factor: 16.971
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