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RNA-seq data analysis

Eija Korpelainen

2014298 pagesabout 5–7 hours
2014
first published
  • 2014Taylor & Francis Group · ENGISBN 9781040071601
  • 2014Taylor & Francis Group · 322 pages · ENGISBN 9781466595019
  • 2014Taylor & Francis Group · 322 pages · ENGISBN 9781482262353
  • 2014Taylor & Francis Group · 322 pages · ENGISBN 9780429169205
  • 2015CRC Press, Taylor & Francis Group · 298 pages · ENGISBN 9781466595002

"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"--

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