miRNomics: MicroRNA Biology and Computational Analysis
Series: Methods in Molecular Biology; 1107;
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66 563 Ft (63 393 Ft + 5% VAT)
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Product details:
- Edition number 2014
- Publisher Humana Press
- Date of Publication 23 November 2013
- Number of Volumes 1 pieces, Book
- ISBN 9781627037471
- Binding Hardback
- No. of pages333 pages
- Size 254x178 mm
- Weight 7977 g
- Language English
- Illustrations XII, 333 p. 69 illus., 1 illus. in color. Illustrations, black & white 0
Categories
Long description:
In miRNomics: MicroRNA Biology and Computational Analysis, expert researchers in the field present an overview of the current state of the art and aim to put the respective areas of research into a larger perspective. These include 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, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, miRNomics: MicroRNA Biology and Computational Analysis seeks to aid scientists in the further study into miRNA research and statistics.
MoreTable of Contents:
Introduction to MicroRNAs in Biological Systems.- The Role of MicroRNA's in Biological Processes.- The Role of MicroRNAs in Human Diseases.- Introduction to Bioinformatics.- MicroRNA and Non-Coding RNA Related Date Sources.- High Throughput Approaches for MicroRNA Expression Analysis.- Introduction to Machine Learning.- Introduction to Statistical Methods for MicroRNA Analysis.- Computational Bioinformatics Methods for MicroRNA Gene Prediction.- Machine Learning Methods for MicroRNA Gene Prediction.- Functional, Structural, and Sequence Studies of MicroRNA.- Computational Methods for MicroRNA Target Prediction.- MicroRNA Target and Gene Validation in Viruses and Bacteria.- Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells.- Computational Prediction of MicroRNA Function and Activity.- Analysis of MicroRNA Expression using Machine Learning.- MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer.- Master Regulators of Post-Transcriptional Gene Expression are Subject to Regulation.- Use of MicroRNAs in Personalized Medicine.
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