Deep Sequencing Data Analysis (Paperback, 2nd ed. 2021)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2243
Release date:	February 2022
First published:	2021
Editors:	Noam Shomron
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	374
Edition:	2nd ed. 2021
ISBN-13:	978-1-07-161105-0
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General Promotions
LSN:	1-07-161105-4
Barcode:	9781071611050

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