A Novel Method to Predict Genomic Islands Based on Mean Shift Clustering Algorithm.

ABSTRACT: Genomic Islands (GIs) are regions of bacterial genomes that are acquired from other organisms by the phenomenon of horizontal transfer. These regions are often responsible for many important acquired adaptations of the bacteria, with great impact on their evolution and behavior. Nevertheless, these adaptations are usually associated with pathogenicity, antibiotic resistance, degradation and metabolism. Identification of such regions is of medical and industrial interest. For this reason, different approaches for genomic islands prediction have been proposed. However, none of them are capable of predicting precisely the complete repertory of GIs in a genome. The difficulties arise due to the changes in performance of different algorithms in the face of the variety of nucleotide distribution

SUBMITTER: de Brito DM 

PROVIDER: S-EPMC4711805 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature