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Computational Epigenomics and Epitranscriptomics - 2023 ed.

By: (Edited by) Pedro H. Oliveira

Extended Catalogue

Ksh 32,400.00

Format: Hardback or Cased Book

ISBN-10: 1071629611

ISBN-13: 9781071629611

Edition: 2023 ed.

Series: Methods in Molecular Biology

Publisher: Springer-Verlag New York Inc.

Imprint: Springer-Verlag New York Inc.

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 2nd, 2023

Print length: 262 Pages

Weight: 708 grams

Dimensions (height x width x thickness): 18.50 x 26.30 x 2.80 cms

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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.

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.


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