Features generated for computational splice-site prediction correspond to functional elements.

ABSTRACT:

Background

Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxiliary signals in the adjacent exons and introns. We previously described a feature generation algorithm (FGA) that is capable of achieving high classification accuracy on human 3' splice sites. In this paper, we extend the splice-site prediction to 5' splice sites and explore the generated features for biologically meaningful splicing signals.

Results

We present examples from the observed features that correspond to known signals, both core signals (including the branch site and pyrimidine tract) and auxiliary signals (including GGG triplets and exon splicing enhancers). We present evidence that featu

SUBMITTER: Dogan RI 

PROVIDER: S-EPMC2241647 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature