Abstract
The important role of non coding RNAs (ncRNAs) in the cell has made their identification a critical issue in the biological research. However, traditional approaches such as PT-PCR and Northern Blot are costly. With recent progress in bioinformatics and computational prediction technology, the discovery of ncRNAs has become realistically possible. This paper aims to introduce major computational approaches in the identification of ncRNAs, including homologous search, de novo prediction and mining in deep sequencing data. Furthermore, related software tools have been compared and reviewed along with a discussion on future improvements. ©2013 Bentham Science Publishers.
Cite
CITATION STYLE
Wang, C., Wei, L., Guo, M., & Zou, Q. (2013). Computational Approaches in Detecting Non- Coding RNA. Current Genomics, 14(6), 371–377. https://doi.org/10.2174/13892029113149990005
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.