miRNomics: MicroRNA Biology and Computational Analysis

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.