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

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 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