Effective Annotation of Noncoding RNA Families Using Profile Context-Sensitive HMMs
- Additional Document Info
- View All
Noncoding RNAs (ncRNAs) are RNA molecules that function without being translated into proteins. Systematic research on ncRNAs has shown that there exist many ncRNAs that are actively involved in various biological processes, playing key roles in controlling them. As the annotation of ncRNAs is still at an early stage, developing efficient computational tools for finding ncRNAs is of great importance. One effective way for finding new ncRNAs is to look for new RNAs that resemble the RNAs that have already been identified. Recently, a new model called the profile context-sensitive HMM (profile-csHMM) has been proposed, and it has been shown that they can provide a convenient framework for finding RNA homologues. In this paper, we give a brief review of profile-csHMMs and their application in RNA similarity search. We also introduce a number of recent advances related to profile-csHMMs and profile-csHMM based search. ©2008 IEEE.
author list (cited authors)