Deep Sequencing Data Analysis

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ISBN 10: 1071611054 ISBN 13: 9781071611050

Published by Springer US, 2022

Language: English

Condition: Used - Fine Soft cover

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Bibliographic Details

Title

Deep Sequencing Data Analysis

Publisher

Springer US

Publication Date

2022

Language

English

ISBN 10

1071611054

ISBN 13

9781071611050

Binding

Soft cover

Edition

2nd Edition

Condition

Sehr gut

Seller catalogs

B�cher

About this title

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.

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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 title" may belong to another edition of this title.

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