Computational Epigenomics and Epitranscriptomics

Pedro H. Oliveira

ISBN 10: 1071629646 / ISBN 13: 9781071629642

Published by Springer US Feb 2024, 2024

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. 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.Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data. 276 pp. Englisch.

Seller Inventory # 9781071629642

Bibliographic Details

• Title: Computational Epigenomics and Epitranscriptomics
• Publisher: Springer US Feb 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1071629646
• ISBN 13: 9781071629642
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. 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.

 

Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.