Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

RNA-seq Data Analysis : A Practical Approach, Hardback Book

RNA-seq Data Analysis : A Practical Approach Hardback

Part of the Chapman & Hall/CRC Computational Biology Series series

Hardback

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.

Information

Other Formats

£62.99

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Chapman & Hall/CRC Computational Biology Series series  |  View all