Dragon PolyA Spotter: predictor of poly(A) motifs within human genomic DNA sequences.

ABSTRACT:

Motivation

Recognition of poly(A) signals in mRNA is relatively straightforward due to the presence of easily recognizable polyadenylic acid tail. However, the task of identifying poly(A) motifs in the primary genomic DNA sequence that correspond to poly(A) signals in mRNA is a far more challenging problem. Recognition of poly(A) signals is important for better gene annotation and understanding of the gene regulation mechanisms. In this work, we present one such poly(A) motif prediction method based on properties of human genomic DNA sequence surrounding a poly(A) motif. These properties include thermodynamic, physico-chemical and statistical characteristics. For predictions, we developed Artificial Neural Network and Random Forest models. These models are trained to recognize 12 m

SUBMITTER: Kalkatawi M 

PROVIDER: S-EPMC3244764 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature