A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 1, 2018
Abstract
MOTIVATION: Antimicrobial resistance (AMR) is becoming a huge problem in both developed and developing countries, and identifying strains resistant or susceptible to certain antibiotics is essential in fighting against antibiotic-resistant pathogens. Whole-genome sequences have been collected for different microbial strains in order to identify crucial characteristics that allow certain strains to become resistant to antibiotics; however, a global inspection of the gene content responsible for AMR activities remains to be done.