Hi-C Data Analysis - Methods and Protocols (Paperback, 1st ed. 2022)


This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. 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, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.

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Product Description

This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. 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, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Methods in Molecular Biology, 2301

Release date

August 2022

Availability

Expected to ship within 10 - 15 working days

First published

2022

Editors

,

Dimensions

254 x 178mm (L x W)

Format

Paperback

Pages

354

Edition

1st ed. 2022

ISBN-13

978-1-07-161392-4

Barcode

9781071613924

Categories

LSN

1-07-161392-8



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