Hi-C Data Analysis: Methods and Protocols

Author:   Silvio Bicciato ,  Francesco Ferrari
Publisher:   Springer-Verlag New York Inc.
Edition:   2021 ed.
Volume:   2301
ISBN:  

9781071613894


Pages:   354
Publication Date:   21 August 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Hi-C Data Analysis: Methods and Protocols


Overview

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.

Full Product Details

Author:   Silvio Bicciato ,  Francesco Ferrari
Publisher:   Springer-Verlag New York Inc.
Imprint:   Humana
Edition:   2021 ed.
Volume:   2301
Weight:   0.889kg
ISBN:  

9781071613894


ISBN 10:   1071613898
Pages:   354
Publication Date:   21 August 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Normalization of Chromosome Contact Maps: Matrix Balancing and Visualization.- Methods to Assess the Reproducibility and Similarity of Hi-C Data.- Methods for the Analysis of Topological Associating Domains (TADs).- Methods for the Differential Analysis of Hi-C D.- Visualising and Annotating Hi-C Data.- Hi-C Data Formats.- Analysis of Hi-C Data for Discovery of Structural Variations In Cancer.- Metagenomes Binning using Proximity-Ligation Data.- Generating High-resolution Hi-C Contact Maps Of Bacteria.- Computational Tools for the Multiscale Analysis of HiC Data in Bacterial Chromosomes.- Analysis of HiChIP Data.- The Physical Behavior of Interphase Chromosomes: Polymer Theory and Coarse-Grain Computer Simulations.- Polymer Folding Simulations from Hi-C Data.- Predictive Polymer Models for 3D Chromosome Organization.- Polymer Modeling of 3D Epigenome Folding: Application to Drosophila.- A Polymer Physics Model To Dissect Genome Organization In Healthy And Pathological Phenotypes.- The 3D Organization of Chromatin Colors in Mammalian Nuclei.- Modeling the 3D Genome using Hi-C and Nuclear Lamin-Genome Contacts.

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