Non-coding RNAs in Complex Diseases A Bioinformatics Perspective /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Li, Xia (Editor, http://id.loc.gov/vocabulary/relators/edt), Xu, Juan (Editor, http://id.loc.gov/vocabulary/relators/edt), Xiao, Yun (Editor, http://id.loc.gov/vocabulary/relators/edt), Ning, Shangwei (Editor, http://id.loc.gov/vocabulary/relators/edt), Zhang, Yunpeng (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advances in Experimental Medicine and Biology, 1094
• Subjects: Bioinformatics.; Human genetics.; Human Genetics.

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 diseas...

Table of Contents:

• 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.