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RNA-seq data analysisEija Korpelainen

RNA-seq data analysis

2014322 pages
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5 editions
Nonfiction

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"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…

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Editions

5 editions
  • Other · English · 2015
    CRC Press, Taylor & Francis Group · 298 pages · 9781466595002
  • Other · English · 2014
    Taylor & Francis Group · 322 pages · 9780429169205
  • Other · English · 2014
    Taylor & Francis Group · 9781040071601
  • Other · English · 2014
    Taylor & Francis Group · 322 pages · 9781482262353
  • Other · English · 2014
    Taylor & Francis Group · 322 pages · 9781466595019
RNA Sequence AnalysisMethodsTranscriptomeStatistics as TopicRnaNucleotide sequenceData processingStatistical methods