Computational Biology of Non-Coding RNA

Methods and Protocols
1. Auflage 2019
ISBN: 978-1-4939-8981-2
Verlag: Springer

Buch, Englisch, Band 1912, 451 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 1063 g

Reihe: Methods in Molecular Biology

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Lai, Xin

Vera, Julio

Gupta, Shailendra K.

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
• Naturwissenschaften Biowissenschaften Biowissenschaften DNA und Transgene Organismen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik

Inhaltsverzeichnis

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.