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Computational Biology of Non-Coding RNA: Methods and Protocols
Computational Biology of Non-Coding RNA: Methods and Protocols
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- More about Computational Biology of Non-Coding RNA: Methods and Protocols
This volume provides a comprehensive collection of state-of-the-art methods for identifying, annotating, and studying non-coding RNAs in various biological contexts. Written in the highly successful Methods in Molecular Biology series format, it includes step-by-step protocols, troubleshooting tips, and references for further reading.
Format: Hardback
Length: 451 pages
Publication date: 12 January 2019
Publisher: Humana Press Inc.
This comprehensive volume delves into a diverse range of state-of-the-art methods, encompassing the identification of novel non-coding RNAs (ncRNAs) and their corresponding targets, as well as the functional annotation and disease association of ncRNAs in various biological contexts. The chapters of this book serve as a comprehensive guide for readers, providing an overview of disease-specific ncRNAs, computational approaches and workflows for ncRNA discovery, annotation based on high-throughput sequencing data, bioinformatics tools and databases for ncRNA analyses, network-based methods, and kinetic modelling of ncRNA-mediated gene regulation. Written in the highly successful Methods in Molecular Biology series format, each chapter includes an introduction to its respective topic, a comprehensive list of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and valuable tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Computational Biology of Non-Coding RNA: Methods and Protocols serves as a valuable resource for researchers seeking to delve into the field of ncRNA. By presenting a comprehensive collection of computational methods and approaches, this book aims to provide a state-of-the-art reference for researchers interested in exploring the complexities and applications of ncRNAs in biological systems.
Weight: 1052g
Dimension: 186 x 263 x 34 (mm)
ISBN-13: 9781493989812
Edition number: 1st ed. 2019
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