Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining.

ABSTRACT:

Background

Many studies report about detection and functional characterization of cis-regulatory motifs in untranslated regions (UTRs) of mRNAs but little is known about the nature and functional role of their distribution. To address this issue we have developed a computational approach based on the use of data mining techniques. The idea is that of mining frequent combinations of translation regulatory motifs, since their significant co-occurrences could reveal functional relationships important for the post-transcriptional control of gene expression. The experimentation has been focused on targeted mitochondrial transcripts to elucidate the role of translational control in mitochondrial biogenesis and function.

Results

The analysis is based on a two-stepped procedure usin

SUBMITTER: Turi A 

PROVIDER: S-EPMC2697649 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature