Hi-C Data Analysis
Springer-Verlag New York Inc.
978-1-0716-1392-4 (ISBN)
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.
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.
Erscheinungsdatum | 26.08.2022 |
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Reihe/Serie | Methods in Molecular Biology ; 2301 |
Zusatzinfo | 58 Illustrations, color; 4 Illustrations, black and white; XIII, 354 p. 62 illus., 58 illus. in color. |
Verlagsort | New York, NY |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Informatik ► Weitere Themen ► Bioinformatik | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
ISBN-10 | 1-0716-1392-8 / 1071613928 |
ISBN-13 | 978-1-0716-1392-4 / 9781071613924 |
Zustand | Neuware |
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