Computational Epigenomics and Epitranscriptomics (1st ed. 2023) (Methods in Molecular Biology Series #2624)
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- 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 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.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 262 Pages
- ISBN-13:
- 9781071629628
- Related ISBNs:
- 9781071629611
- Publisher:
- Springer US
- Date of Addition:
- 03/14/23
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Pedro H. Oliveira