Methods in Molecular Biology

Deep Sequencing Data Analysis

Editors: Shomron, Noam (Ed.)

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  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
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eBook $169.00
price for USA in USD
  • Due: March 23, 2021
  • ISBN 978-1-0716-1103-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover $219.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: February 20, 2021
  • ISBN 978-1-0716-1102-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
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)

Table of contents (19 chapters)
  • Detecting Causal Variants in Mendelian Disorders Using Whole-Genome Sequencing

    Pages 1-25

    Hamzeh, Abdul Rezzak (et al.)

  • Statistical Considerations on NGS Data for Inferring Copy Number Variations

    Pages 27-58

    Chen, Jie

  • Applications of Community Detection Algorithms to Large Biological Datasets

    Pages 59-80

    Kanter, Itamar (et al.)

  • Processing and Analysis of RNA-seq Data from Public Resources

    Pages 81-94

    Zoabi, Yazeed (et al.)

  • Improved Analysis of High-Throughput Sequencing Data Using Small Universal k-Mer Hitting Sets

    Pages 95-105

    Orenstein, Yaron

Buy this book

eBook $169.00
price for USA in USD
  • Due: March 23, 2021
  • ISBN 978-1-0716-1103-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover $219.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: February 20, 2021
  • ISBN 978-1-0716-1102-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
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Bibliographic Information

Bibliographic Information
Book Title
Deep Sequencing Data Analysis
Editors
  • 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