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Bioinformatics Advance Access originally published online on December 8, 2006
Bioinformatics 2007 23(4):522-523; 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

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 Avenue N, Seattle, WA 02115, USA

*To whom correspondence should be addressed.


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

Contact: stvjc{at}channing.harvard.edu

Associate Editor: Keith A Crandall

Received on August 18, 2006; revised on November 7, 2006; accepted on December 5, 2006

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