This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas.

Chapter 1. Non-coding RNA resources.- Chapter 2. Systematic identification of non-coding RNAs.- Chapter 3. Functional characterization of non-coding RNAs through genomic data fusion.- Chapter 4. Genomic-scale prioritization of disease-related non-coding RNAs.- Chapter 5. Genome-wide mapping of SNPs in non-coding RNAs.- Chapter 6. Profiling DNA methylation patterns of non-coding RNAs (ncRNAs) in human disease.- Chapter 7. Aberrant epigenetic modifications of non-coding RNAs in human disease.- Chapter 8. Computationally modeling ncRNA-ncRNA crosstalk.- Chapter 9. Computational inferring of risk subpathways mediated by dysfunctional non-coding RNAs.- Chapter 10. Computational identification of cross-talking ceRNAs.- Chapter 11. Prediction of non-coding RNAs as drug targets.- Chapter 12. Methods for Identification of Protein-RNA interaction.