RNA-seq Data Analysis: A Practical Approach
โ Scribed by Eija Korpelainen; Jarno Tuimala; Panu Somervuo; Mikael Huss; Garry Wong
- Publisher
- CRC Press Taylor & Francis Group
- Year
- 2014
- Tongue
- English
- Leaves
- 322
- Series
- Chapman & Hall/CRC mathematical and computational biology series (Unnumbered)
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
''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 Read more...
โฆ Table of Contents
Content: Introduction Introduction to RNA-seq data analysis Quality control and preprocessing Aligning reads to reference and visualizing them in genomic context Transcriptome assembly Annotation-based quality control and quantitation of gene expression RNA-seq analysis framework in R and Bioconductor Differential expression analysis Analysis of differential exon usage Annotating the results Visualization Small non-coding RNAs Computational analysis of small noncoding RNA sequencing data
Abstract: ''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''--Provided by publisher
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