In recent years r has become the de facto tool for analysis of gene expression data in addition to its prominent role in analysis of genomic data benefits to using r include the integrated development environment for analysis flexibility and control of the analytic workflow included topics are core components of advanced undergraduate and graduate classes in bioinformatics genomics and statistical genetics this book is also designed to be used by students in computer science and . Through this book researchers and students will learn to use r for analysis of large scale genomic data and how to create routines to automate analytical steps the philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results though theory plays an important role this is a practical book for advanced undergraduate and graduate classes in bioinformatics genomics and statistical genetics or for use in lab sessions . In recent years r has become the de facto tool for analysis of gene expression data in addition to its prominent role in analysis of genomic data benefits to using r include the integrated development environment for analysis flexibility and control of the analytic workflow included topics are core components of advanced undergraduate and graduate classes in bioinformatics genomics and statistical genetics this book is also designed to be used by students in computer science and . Primer to analysis of genomic data using r a read is counted each time someone views a publication summary such as the title abstract and list of authors clicks on a figure or views or