Transcriptome Data Analysis Methods and Protocols

This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new...

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Bibliographic Details
Other Authors: Wang, Yejun (Editor), Sun, Ming-an (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2018, 2018
Edition:1st ed. 2018
Series:Methods in Molecular Biology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies.  Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  Authoritative and useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study
Physical Description:X, 238 p. 55 illus., 50 illus. in color online resource
ISBN:9781493977109