Hi-C Data Analysis

Francesco Ferrari

ISBN 10: 1071613928 / ISBN 13: 9781071613924

Editore: Springer US Aug 2022, 2022

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 368 pp. Englisch.

Codice articolo 9781071613924

Dati bibliografici

• Titolo: Hi-C Data Analysis
• Editore: Springer US Aug 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1071613928
• ISBN 13: 9781071613924
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 254 L x 178 A x 20 P (millimetri) 254 millimetri di larghezza per 178 millimetri di altezza per 20 millimetri di profondità
• Peso: 692 grammi

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Riassunto

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.