- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Buy this book
- About this book
-
This second edition provides new and updated chapters from expert researchers in the field detailing methods used to study the multi-facet deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning methodologies, 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 the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Deep Sequencing Data Analysis: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.
- Table of contents (19 chapters)
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Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing
Pages 1-25
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Statistical Considerations on NGS Data for Inferring Copy Number Variations
Pages 27-58
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Applications of Community Detection Algorithms to Large Biological Datasets
Pages 59-80
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Processing and Analysis of RNA-seq Data from Public Resources
Pages 81-94
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Improved Analysis of High-Throughput Sequencing Data Using Small Universal k-Mer Hitting Sets
Pages 95-105
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Table of contents (19 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Deep Sequencing Data Analysis
- Editors
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- Noam Shomron
- Series Title
- Methods in Molecular Biology
- Series Volume
- 2243
- Copyright
- 2021
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media, LLC, part of Springer Nature
- eBook ISBN
- 978-1-0716-1103-6
- DOI
- 10.1007/978-1-0716-1103-6
- Hardcover ISBN
- 978-1-0716-1102-9
- Series ISSN
- 1064-3745
- Edition Number
- 2
- Number of Pages
- X, 374
- Number of Illustrations
- 11 b/w illustrations, 81 illustrations in colour
- Topics
