Computational Biology of Non-Coding RNA

Methods and Protocols

Inbunden, Engelska, 2019

Av Xin Lai, Shailendra K. Gupta, Julio Vera

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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.

Produktinformation

Utgivningsdatum2019-01-12
Mått178 x 254 x 34 mm
Vikt1 052 g
FormatInbunden
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor451
FörlagHumana Press Inc.
ISBN9781493989812

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Biovetenskap inom Naturvetenskap och teknik
Medicinsk genetik inom Medicin

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.