Yoon, Byung-Jun and Vaidyanathan, P. P. (2005) An overview of the role of context-sensitive HMMs in the prediction of ncRNA genes. In: IEEE/SP Workshop on Statistical Signal Processing,13th, Bordeaux, France, 17-20 July 2005. IEEE , Piscataway, NJ, pp. 1378-1383. ISBN 0780394038 http://resolver.caltech.edu/CaltechAUTHORS:YOOssp05
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:YOOssp05
Non-coding RNAs (ncRNA) are RNA molecules that function in the cells without being translated into proteins. In recent years, much evidence has been found that ncRNAs play a crucial role in various biological processes. As a result, there has been an increasing interest in the prediction of ncRNA genes. Due to the conserved secondary structure in ncRNAs, there exist pairwise dependencies between distant bases. These dependencies cannot be effectively modeled using traditional HMMs, and we need a more complex model such as the context-sensitive HMM (csHMM). In this paper, we overview the role of csHMMs in the RNA secondary structure analysis and the prediction of ncRNA genes. It is demonstrated that the context-sensitive HMMs can serve as an efficient framework for these purposes.
|Item Type:||Book Section|
|Additional Information:||© 2005 IEEE. Reprinted with Permission. Publication Date: 17-20 July 2005. Posted online: 2005-08-22. Work supported in parts by the NSF grant CCF-0428326 and the Microsoft Research Graduate Fellowship.|
|Subject Keywords:||biological techniques; encoding; genetic engineering; hidden Markov models; macromolecules; organic compounds; context-sensitive HMMS; ncRNA genes; noncoding RNA genes; secondary structure analysis|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Kristin Buxton|
|Deposited On:||12 Mar 2008|
|Last Modified:||26 Dec 2012 09:52|
Repository Staff Only: item control page