Journal Article

GWAS GUI: graphical browser for the results of whole-genome association studies with high-dimensional phenotypes

Wei Chen, Liming Liang and Gonçalo R. Abecasis

in Bioinformatics

Volume 25, issue 2, pages 284-285
Published in print January 2009 | ISSN: 1367-4803
Published online November 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn600
GWAS GUI: graphical browser for the results of whole-genome association studies with high-dimensional phenotypes

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Summary: We describe an interactive package that provides graphical overviews of the results of whole-genome association studies in datasets with rich multi-dimensional phenotypic information, such as global surveys of gene expression. Windows, Linux and Mac binaries are available from our website.

Availability: http://www.sph.umich.edu/csg/weich/software.html

Contact: weich@umich.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1524 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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