Overview
- Includes cutting-edge methods and protocols in the MiMB standard format
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1038)
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About this book
The new genetic revolution is fuelled by Deep Sequencing (or Next Generation Sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied.In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included techniques for compressing of data generated, Chromatin Immunoprecipitation (ChIP-seq), and various approaches for the identification of sequence variants. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation.
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Keywords
Table of contents (13 protocols)
Editors and Affiliations
Bibliographic Information
Book Title: Deep Sequencing Data Analysis
Editors: Noam Shomron
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-62703-514-9
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-62703-513-2Published: 20 July 2013
Softcover ISBN: 978-1-4939-6027-9Published: 23 August 2016
eBook ISBN: 978-1-62703-514-9Published: 20 July 2013
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 234
Number of Illustrations: 38 b/w illustrations, 43 illustrations in colour
Topics: Bioinformatics, Human Genetics