Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach.

ABSTRACT:

Background

Computational identification of non-coding RNAs (ncRNAs) is a challenging problem. We describe a genome-wide analysis using Bayesian segmentation to identify intronic elements highly conserved between three evolutionarily distant vertebrate species: human, mouse and zebrafish. We investigate the extent to which these elements include ncRNAs (or conserved domains of ncRNAs) and regulatory sequences.

Results

We identified 655 deeply conserved intronic sequences in a genome-wide analysis. We also performed a pathway-focussed analysis on genes involved in muscle development, detecting 27 intronic elements, of which 22 were not detected in the genome-wide analysis. At least 87% of the genome-wide and 70% of the pathway-focussed elements have existing annotations indica

SUBMITTER: Algama M 

PROVIDER: S-EPMC5369223 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature