Main description:

This thorough volume provides an in-depth introduction to and discussion of microRNAs (miRs) and their targets, miR functions, and computational techniques applied in miR research, thus serving the need for a comprehensive book focusing on miR target genes, miR regulation mechanisms, miR functions performed in various human diseases, and miR databases/knowledgebases. Without prior knowledge of the area of study, computational biologists, computer scientists, bioinformaticians, bench biologists, as well as clinical investigators will find it easy to follow the techniques in this collection. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results.
Accessible and practical, Bioinformatics in MicroRNA Research functions as an ideal guide for researchers of all backgrounds to explore this vital area of study.

Contents:

1. MicroRNAs, Long Non-Coding RNAs, and Their Functions in Human Disease

Min Xue, Ying Zhuo, and Bin Shan

2. MicroRNA Expression: Protein Participants in MicroRNA Regulation

Valeria M. King and Glen M. Borchert

3. Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs

Sara-Elizabeth Cardin and Glen M. Borchert

4. MicroRNAs: Biomarkers, Diagnostics, and Therapeutics

Weili Huang

5. Relational Databases and Biomedical Big Data

N.H. Nisansa D. de Silva

6. Semantic Technologies and Bio-Ontologies

Fernando Gutierrez

7. Genome-Wide Analysis of MicroRNA-Regulated Transcripts

David Chevalier and Glen M. Borchert

8. Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources

Justin T. Roberts and Glen M. Borchert

9. Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies

Yue Hu, Wenjun Lan, and Daniel Miller

10. The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy

Rasiah Loganantharaj and Thomas A. Randall

11. Genomic Regulation of MicroRNA Expression in Disease Development

Feng Liu

12. Next Generation Sequencing for MicroRNA Expression Profile

Yue Hu, Wenjun Lan, and Daniel Miller

13. Handling High-Dimension (High-Feature) MicroRNA Data

Yue Hu, Wenjun Lan, and Daniel Miller

14. Effective Removal of Noisy Data Via Batch Effect Processing

Ryan G. Benton

15. Logical Reasoning (Inferencing) on MicroRNA Data

Jingsong Wang

16. Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions

Sumi Singh, Ryan G. Benton, Anurag Singh, and Anshuman Singh

17. Involvement of MicroRNAs in Diabetes and Its Complications

Bin Wu and Daniel Miller

18. MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role

Lihua Zhang, Daniel Miller, Qiuping Yang, and Bin Wu

19. Expression of MicroRNAs in Thyroid Carcinoma

Gaohong Zhu, Lijun Xie, and Daniel Miller