RNA-Seq Data Analysis

"RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, transcripts, and whole transcriptomes. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools. The book also provides examples using command line tools and the R statistical environment. For non-programming scientists, the same examples are covered using open source software with a graphical user interface"--

List of contents

Introduction. Quality Control. Mapping, and Assembly. Differential Expression. Analysis of Small Non-Coding RNAs.

About the author

Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong

Product details

• Authors: Mikael Huss, Mikael (SciLifeLab Huss, Huss Mikael, Eija Korpelainen, Eija (CSC - IT Center for Science Korpelainen, Eija Tuimala Korpelainen, Korpelainen Eija, Panu Somervuo, Panu (University of Helsinki Somervuo, Somervuo Panu, Jarno Tuimala, Jarno (RS-koulutus Tuimala, Tuimala Jarno, Garry Wong, Garry (University of Eastern Finland Wong, Wong Garry
• Publisher: Chapman and Hall Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 20.10.2014
• EAN: 9781466595002
• ISBN: 978-1-4665-9500-2
• Dimensions: 160 mm x 242 mm x 23 mm
• Series: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Computational Biology Series; Chapman & Hall/CRC Computation
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, COMPUTERS / Programming / Games, Biology, life sciences