9781466595002-1466595000-RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series)

RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series)

ISBN-13: 9781466595002
ISBN-10: 1466595000
Edition: 1
Author: Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 322 pages
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Book details

ISBN-13: 9781466595002
ISBN-10: 1466595000
Edition: 1
Author: Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 322 pages

Summary

Acknowledged authors Eija Korpelainen , Jarno Tuimala , Panu Somervuo , Mikael Huss , Garry Wong wrote RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series) comprising 322 pages back in 2014. Textbook and eTextbook are published under ISBN 1466595000 and 9781466595002. Since then RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Computational Biology Series) textbook was available to sell back to BooksRun online for the top buyback price of $ 24.72 or rent at the marketplace.

Description

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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