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Briefings in Bioinformatics Advance Access originally published online on December 21, 2006
Briefings in Bioinformatics 2007 8(2):136-137; doi:10.1093/bib/bbl020
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© The Author 2006. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Book Reviews

Bioinformatics and Computational Biology Solutions Using R and Bioconductor.

Edited by Robert Gentleman, Wolfgang Huber, Vincent J. Carey, Rafael A. Irizarry and Sandrine Dudoit

Bioinformatics and Computational Biology Solutions Using R and Bioconductor.
Edited by Robert Gentleman, Wolfgang Huber, Vincent J. Carey, Rafael A. Irizarry and Sandrine Dudoit
Springer
ISBN: 0387251464; 473 pp.; 2005; $89.95.

The first 10% of the full text of this article appears below.

This book guides through practical bioinformatics data analysis using the Bioconductor toolkit, which is based on the statistical language R. R itself is an open-source recreation of the language S-Plus. The Bioconductor is a collection of R-packages for the analysis of genomic and molecular biological data generated in high-throughput experiments. High-throughput experiments are characterized by large amounts of data generated in short periods of time on a sizable number of samples. This poses new challenges to the analysis such as assessing and adjusting for noise, exploration using cluster-analysis, visualization, and linking to (or ‘annotating with’) biomedical knowledge bases.

The book focuses on gene expression microarrays, the high-throughput technology for which statistical methods are best developed today. In addition, a . . . [Full Text of this Article]

Schadow
Indiana University School of Informatics and
Regenstrief Institute


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