Genome Analysis in R

List of contents

Preface. Introduction to Genome Biology. R Essentials. Bioconductor Bioinformatics Packages. Sequence Manipulations. Parsing Genomic Features. Next Gen Sequence Processing. Working with Genomic Databases. Motif Discovery Packages. Genome Methylation Analysis. Transcriptome Analysis (RNA-seq). Case studies.

Summary

In recent years the amount of biological sequence data available for research has increased significantly and complete genome sequences have become commonplace. Next-generation sequencing (NGS) is expected to revolutionize biomedical research. However, the analysis of millions of DNA/RNA sequences is becoming a real challenge as the capabilities of standard computers have been far exceeded. This book guides readers in the processing and analyzing of genome-wide data with minimum computer RAM requirements. It focuses on practical solutions to a wide range of next-generation sequencing bioinformatic problems such as data import, read demultiplexing, trimming, quality checks, alignment, transformations, normalization, annotation, motif search, and differential expression. No prior programming knowledge is required.

Product details

• Authors: Pawel Michalak, Pawel (Virginia Bioinformatics Institute Michalak
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 30.11.2015, delayed
• EAN: 9781482210361
• ISBN: 978-1-4822-1036-1
• No. of pages: 300
• Series: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software