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Bioinformatics Advance Access published online on December 8, 2006

Bioinformatics, doi:10.1093/bioinformatics/btl628
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© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received August 18, 2006
Revised November 7, 2006
Accepted December 5, 2006

Applications note

GGtools: analysis of genetics of gene expression in Bioconductor

Vincent J. Carey 1 *, Martin Morgan 2, Seth Falcon 2, Ross Lazarus 1, and Robert Gentleman 2

1 Channing Laboratory, Brigham and Women's Hospital, 75 Francis Street, Boston, 02115, USA
2 Program in Computational Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N, Seattle, WA, 02115, USA

* To whom correspondence should be addressed.
Vincent J. Carey, E-mail: stvjc{at}channing.harvard.edu


   Abstract

Summary: This paper reviews the central concepts and implementation of data structures and methods for studying genetics of gene expression with the GGtools package of Bioconductor. Illustration with a HapMap+expression dataset is provided.

Availability: Packages GGtools is part of of Bioconductor 1.9 (http://bioconductor.org). Open source with Artistic License.


Associate Editor: Keith A Crandall
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