Filtering of false positive microRNA candidates by a clustering-based approach

Background: MicroRNAs are small non-coding RNA gene products that play diversified roles from species to species. The explosive growth of microRNA researches in recent years proves the importance of microRNAs in the biological system and it is believed that microRNAs have valuable therapeutic potentials in human diseases. Continual efforts are therefore required to locate and verify the unknown microRNAs in various genomes. As many miRNAs are found to be arranged in clusters, meaning that they are in close proximity with their neighboring miRNAs, we are interested in utilizing the concept of microRNA clustering and applying it in microRNA computational prediction. Results: We first validate the microRNA clustering phenomenon in the human, mouse and rat

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Wing-Sze Leung, Marie C. M. Lin, David Wai-Lok Cheung, Siu-Ming Yiu
• Keywords: BMCBI 2008, Microrna, RNA Gene Products, Valuable Therapeutic Potentials