Computational methods to study non-coding RNAs

Some years ago, only the portions of the chromosomes coding to proteins were considered important for the cellular mechanisms. Nowadays, other regions have been more carefully investigated. In particular, latest research definitely shows that RNAs that do not directly participate in protein synthesis, called non-coding RNAs (ncRNAs), play very important roles in the cell. Although specific laboratory and computational techniques together with thousands of ncRNA families are already known, there are no widely accepted methods to identify and classify ncRNAs, or to determine new characteristics of these molecules. In this talk, the objective is to discuss the computational methods: energy minimization; covariance models; machine learning; and multiagent system, to study ncRNAs. Furthermore, we indicate interesting topics of research in this area. 

Hosted by Maribel Hernández Rosales, IM-UNAM Juriquilla.