miRNomics: MicroRNA Biology and Computational Analysis

by Malik Yousef (Editor), Jens Allmer (Editor)

Overview

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 prools, 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.

Product Details

ISBN-13:	9781627037471
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/23/2013
Series:	Methods in Molecular Biology , #1107
Edition description:	2014
Pages:	333
Product dimensions:	7.01(w) x 10.00(h) x 0.03(d)

Table 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.