Computational Epigenomics And Epitranscriptomics
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Computational Epigenomics and Epitranscriptomics
Author | : Pedro H. Oliveira |
Publisher | : Springer Nature |
Total Pages | : 267 |
Release | : 2023-02-01 |
Genre | : Science |
ISBN | : 107162962X |
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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.
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