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by: Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong

 : RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)
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Binding: Hardcover
Brand: CRC Press
EAN: 9781466595002
Edition: 1
Feature: CRC Press
ISBN: 1466595000
Item Dimensions: 8005000100
Label: Chapman and Hall/CRC
Languages: EnglishPublishedEnglishOriginal LanguageEnglishUnknown
Manufacturer: Chapman and Hall/CRC
MPN: 55 black & white illustrations, 12 black
Number Of Items: 1
Number Of Pages: 322
Publication Date: September 19, 2014
Publisher: Chapman and Hall/CRC
Studio: Chapman and Hall/CRC

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The State of the Art in Transcriptome Analysis
RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.



Balanced Coverage of Theory and Practice
Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.



The Tools and Methods to Get Started in Your Lab
Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.





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