Bioinformatics and Computational Biology Solutions Using R and Bioconductor

From the reviews:

" The book has several nice touches that readers will appreciate. First, the liberal use of color shows the full capabilities of Bioconductor pakages and brings the material to life. Second, color figures are dispersed throughout the text rather than being relegated to a central section of color plates. Third, the index indicates whether a term references a package, function or class. This book is an excellent resource. . . In summary, this book is a must have for any Bioconductor user. " (J. Wade Davis, Journal of the American Statistical Association, Vol. 102, No. 477, 2007)

" This book is solid evidence of the influence that quantitative researchers can have on biological investigations. Organized into separate chapters of shared authorship, the book provides a valuable overview of the impact that the authors and their colleagues have had on the analysis of genomic data. " (R. W. Doerge, Biostatistics, December 2006)

" This book provides an in-depth demonstration of the potential of the Bioconductor project, through a varied mixture of descriptions, figures and examples. The book is an exciting opportunity for researchers to learn directly from the software developers themselves. The range of material covered by the book is diverse and well structured. An abundance of fully worked case studies illustrate the methods in practice. it should be a must for any researcher considering getting started with the software . " (Rebecca Walls, Journal of Applied Statistics, Vol. 34 (3), 2007)

" The book provides an extensive overview over the most important tasks in analyzing genomic data with Bioconductor. The book is well written and communicates hands-on experience of the developers of the respective Bioconductor packages themselves. The book is targeted to a broad range of researchers interested in genomic data analysis, including biologists, bioinformaticians, and statisticians. It is a very valuable resource formodern genomic data analysis. There is no comparable book on the market. " (Jörg Rahnenführer, Statistical Papers, Vol. 50, 2009)