Computational Epigenomics and Epitranscriptomics
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 prools, and tips on troubleshooting and avoiding known pitfalls.
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Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic prools, making it easier for researchers to extract impactful biological insight from their data.
Computational Epigenomics and Epitranscriptomics
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 prools, and tips on troubleshooting and avoiding known pitfalls.
Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic prools, making it easier for researchers to extract impactful biological insight from their data.
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Computational Epigenomics and Epitranscriptomics
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Computational Epigenomics and Epitranscriptomics
262Hardcover(1st ed. 2023)
$219.99
219.99
In Stock
Product Details
ISBN-13: | 9781071629611 |
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Publisher: | Springer US |
Publication date: | 02/02/2023 |
Series: | Methods in Molecular Biology , #2624 |
Edition description: | 1st ed. 2023 |
Pages: | 262 |
Product dimensions: | 7.01(w) x 10.00(h) x (d) |
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