An optimized approach for annotation of large eukaryotic genomic sequences using genetic algorithm.

ABSTRACT:

Background

Detection of important functional and/or structural elements and identification of their positions in a large eukaryotic genomic sequence are an active research area. Gene is an important functional and structural unit of DNA. The computation of gene prediction is, therefore, very essential for detailed genome annotation.

Results

In this paper, we propose a new gene prediction technique based on Genetic Algorithm (GA) to determine the optimal positions of exons of a gene in a chromosome or genome. The correct identification of the coding and non-coding regions is difficult and computationally demanding. The proposed genetic-based method, named Gene Prediction with Genetic Algorithm (GPGA), reduces this problem by searching only one exon at a time instead of all ex

SUBMITTER: Chowdhury B 

PROVIDER: S-EPMC5655831 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature