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Deep Sequencing Data Analysis

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Deep Sequencing Data Analysis Synopsis

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.

About This Edition

ISBN: 9781071611029
Publication date:
Author: Noam Shomron
Publisher: Humana Press an imprint of Springer US
Format: Hardback
Pagination: 374 pages
Series: Methods in Molecular Biology
Genres: Genetics (non-medical)
Computational biology / bioinformatics

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