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E-raamat: Computational Biology of Non-Coding RNA: Methods and Protocols

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Computational Biology of Non-Coding RNA: Methods and ProtocolsSuurem pilt
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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 methods and approaches that will be of value to researchers interested in ncRNA field.


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.
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