About
Over 90 practical recipes for computational biologists to model and handle real-life data using R
Covered topics:
- 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
Description
Bioinformatics 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 bioinformatics. Bioinformatics 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 bioinformatics 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 microarray to NGS and mass spectrometry.