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What you will learn from this book Retrieve biological data from within an R environment without hassling web pages Annotate and enrich your data and convert the identifiers Find relevant text from PubMed on which to perform text mining Find phylogenetic relations between species Infer relations between genomic content and diseases via GWAS Classify patients based on biological or clinical features Represent biological data with attractive visualizations, useful for publications and presentations In detail Bio informatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing and analyzing biological data. R is the primary language used for handling most of the data analysis work done in the domain of bio informatics. Bio informatics with R cookbook is a hands-on guide that provides you with a number of recipes offering you solutions to all the computational tasks related to bio informatics in terms of packages and tested codes. With the help of this book, you will learn how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from micro array to NGS and mass spectrometry. Approach This book is an easy-to-follow, stepwise guide to handle real life bio informatics problems. Each recipe comes with a detailed explanation to the solution steps. A systematic approach, coupled with lots of illustrations, tips and tricks will help you as a reader grasp even the trickiest of concepts without difficulty. Who this book is for This book is ideal for computational biologists and bioinformaticians with basic knowledge of R programming, bio informatics and statistics. If you want to understand various critical concepts needed to develop your computational models in bio informatics, then this book is for you. Basic knowledge of R is expected.