RNA-seq data analysis : a practical approach
著者
書誌事項
RNA-seq data analysis : a practical approach
（Chapman and Hall/CRC mathematical & computational biology series / series editors Alison M. Etheridge ... [et al.]）（A Chapman & Hall book）
CRC Press, c2015
- : hardcover
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注記
Other authors: Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
Inside of the front cover: Accessing the e-book edition
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Introduction. Quality Control. Mapping, and Assembly. Differential Expression. Analysis of Small Non-Coding RNAs.
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