miRNomics

MicroRNA Biology and Computational Analysis
2. Auflage 2022
ISBN: 978-1-0716-1169-2
Verlag: Springer US

Buch, Englisch, Band 2257, 442 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 1048 g

Reihe: Methods in Molecular Biology

This second edition presents an up-to-date overview of the current state-of-the-art protocols and aims to miRNomics into a broader perspective. Chapters detail methods and techniques ranging from miRNA biogenesis, their biological function, computational analyses to their medical implications and applications. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader and tips on troubleshooting and avoiding known pitfalls.



Authoritative and accessible, miRNomics: MicroRNA Biology and Computational Analysis, Second Edition ensures successful results in the further study of this vital field.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Yousef, Malik

Allmer, Jens

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Regulation of MicroRNAs.- Experimental MicroRNA Detection Methods.- Functional Annotation of MicroRNAs using Existing Resources.- Experimental MicroRNA Targeting Validation.- Endogenous miRNA Sponges.- MicroRNA Targeting.-  MicroRNA Databases and Tools.- Computational Detection of Pre-microRNAs.- Computational Methods for Predicting Mature MicroRNAs.- Computational Detection of MicroRNA Targets.-  Evolution and Phylogeny of MicroRNAs --- Protocols, Pitfalls, and Problems.- Ensemble Classifiers for Multi-class MicroRNA Classification.- MicroRNAs in Genetic Etiology of Human Diseases.- The role of Exosomal MicroRNAs in Cell-to-Cell Communication.- MicroRNAs and Heat Shock Proteins in Breast Cancer Biology.- Role of MicroRNAs in Extreme Animal Survival Strategies.- Computational and Bioinformatics Methods for MicroRNA Gene Prediction.- The Role of MiRNA in Cancer: Pathogenesis, Diagnosis, and Treatment.- Current Challenges in miRNomics.