Book
RNA-seq data analysisEija Korpelainen
Nonfiction

RNA-seq data analysis

322 pagesFirst published 20145 editions
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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 in Spinefolk
FormatPublisherYearPagesISBN
EditionCRC Press, Taylor & Francis Group20152989781466595002
EditionTaylor & Francis Group2014—9781040071601
EditionTaylor & Francis Group20143229780429169205
EditionTaylor & Francis Group20143229781466595019
EditionTaylor & Francis Group20143229781482262353
RNA Sequence AnalysisMethodsTranscriptomeStatistics as TopicRnaNucleotide sequenceData processingStatistical methods