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Due to its data handling and modeling capabilities as well as its flexibility, R is the most widely used software in bioinformatics. This title explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. It covers the general properties of the R language.
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. (6) gene set enrichment analysis. Each chapter of this book describes an analysis of real data using hands-on example driven approaches.
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