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124 254 Ft
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Product details:
- Edition number 2
- Publisher Springer US
- Date of Publication 26 August 2021
- Number of Volumes 1 pieces, Book
- ISBN 9781071611692
- Binding Hardback
- No. of pages442 pages
- Size 254x178 mm
- Weight 1048 g
- Language English
- Illustrations XIII, 442 p. 70 illus., 65 illus. in color. Illustrations, black & white 190
Categories
Long description:
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.
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Table of Contents:
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.
