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Book

RNA-seq Data Analysis

Book

RNA-seq Data Analysis

DOI link for RNA-seq Data Analysis

RNA-seq Data Analysis book

A Practical Approach

RNA-seq Data Analysis

DOI link for RNA-seq Data Analysis

RNA-seq Data Analysis book

A Practical Approach
ByEija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
Edition 1st Edition
First Published 2014
eBook Published 22 September 2014
Pub. Location New York
Imprint Chapman and Hall/CRC
DOI https://doi.org/10.1201/b17457
Pages 322
eBook ISBN 9780429169205
Subjects Bioscience
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Korpelainen, E., Tuimala, J., Somervuo, P., Huss, M., & Wong, G. (2014). RNA-seq Data Analysis: A Practical Approach (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b17457

ABSTRACT

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

TABLE OF CONTENTS

chapter 1|26 pages

◾ Introduction to RNA-seq

chapter 2|14 pages

◾ Introduction to RNA-seq Data Analysis

chapter 3|22 pages

◾ Quality Control and Preprocessing

chapter 4|22 pages

◾ Aligning Reads to Reference

chapter 5|24 pages

◾ Transcriptome Assembly

chapter 6|22 pages

◾ Quantitation and Annotation-Based Quality Control

chapter 7|16 pages

◾ RNA-seq Analysis Framework in R and Bioconductor

chapter 8|34 pages

◾ Differential Expression Analysis

chapter 9|18 pages

◾ Analysis of Differential Exon Usage

chapter 10|18 pages

◾ Annotating the Results

chapter 11|20 pages

◾ Visualization

chapter 12|22 pages

◾ Small Noncoding RNAs

chapter 13|28 pages

◾ Computational Analysis of Small Noncoding

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