Computational Epigenomics and Epitranscriptomics (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2624
Release date:	February 2023
First published:	2023
Editors:	Pedro H. Oliveira
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	262
Edition:	1st ed. 2023
ISBN-13:	978-1-07-162961-1
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
LSN:	1-07-162961-1
Barcode:	9781071629611

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