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RNA-seq data analysis : a practical approach

By: Korpelainen, Eija.
Contributor(s): Tuimala, Jarno | Somervuo, Panu | Huss, Mikael | Wong, Garry.
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC Mathematical and computational biology series.Publisher: London : CRC Press, ©2015Description: xxiv, 298 p. : ill. ; 24 cm.ISBN: 9781466595002.Subject(s): Sequence Analysis, RNA -- methods | Transcriptome | Statistics as TopicSummary: "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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Biology CB 572.88 KOR-R (Browse shelf) Checked out Not For Loan DBT Project Grant 23/10/2019 008792
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"A Chapman & Hall book."

Includes bibliographical references and index.

"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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