Computational Biology of Non-Coding RNA
Methods and Protocols
(Sprache: Englisch)
This volume details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts. Chapters guide readers through an overview of...
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Klappentext zu „Computational Biology of Non-Coding RNA “
This volume details a collection of state-of-art methods including identification of novel ncRNAs and their targets, functional annotation and disease association in different biological contexts. Chapters guide readers through an overview of disease-specific ncRNAs, computational methods 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, 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.Authoritative and cutting-edge, Computational Biology of Non-Coding RNA: Methods and Protocols aims to provide a state-of-the-art collection of computational methodsand approaches that will be of value to researchers interested in ncRNA field.
Inhaltsverzeichnis zu „Computational Biology of Non-Coding RNA “
ncRNAs in Inflammatory and Infectious Diseases.- p73-Governed miRNA Networks: Translating Bioinformatics Approaches to Therapeutic Solutions for Cancer Metastasis.- Methods for Annotation and Validation of Circular RNAs from RNAseq Data.- Methods to Study Long Non-coding RNA Expression and Dynamics in Zebrafish using RNA Sequencing.- Workflow Development for the Functional Characterization of ncRNAs.- ncRNA Editing: Functional Characterization and Computational Resources.- Computational Prediction of Functional microRNA - mRNA Interactions.- Tools for Understanding miRNA-mRNA Interactions for Reproducible RNA Analysis.- Computational Resources for Prediction and Analysis of Functional miRNA and their Targetome.- Non-coding RNAs Databases: Current Status and Trends.- Controllability Methods for Identifying Associations between Critical Control ncRNAs and Human Diseases.- Network-based Methods and Other Approaches for Predicting lncRNA Functions and Disease Associations.- Integration ofmiRNA and mRNA Expression Data for Understanding Etiology of Gynecologic Cancers.- Quantitative Characteristic of ncRNA Regulation in Gene Regulatory Networks.- Kinetic Modeling of Competition and Depletion of Shared miRNAs by Competing Endogenous RNAs.- Modeling ncRNA-mediated Circuits in Cell Fate Decision.- Modeling Long ncRNA-mediated Regulation in the Mammalian Cell Cycle.
Bibliographische Angaben
- 2019, 1st ed. 2019, XII, 451 Seiten, 65 farbige Abbildungen, Maße: 18,3 x 26 cm, Gebunden, Englisch
- Herausgegeben: Xin Lai, Shailendra K. Gupta, Julio Vera
- Verlag: Springer, Berlin
- ISBN-10: 1493989812
- ISBN-13: 9781493989812
- Erscheinungsdatum: 12.01.2019
Sprache:
Englisch
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