Major
Bioinformatics
Anticipated Graduation Year
2021
Access Type
Open Access
Abstract
One of mankind’s greatest challenges is fighting a never ending war against pathogens. Antibiotics, a relatively new advancement, have proven successful for decades. My project aims to be able to predict a bacterial strains’ resistance/susceptibility to antibiotics through analyzing the presence/absence of genes. The algorithm I am developing will be tested against E. coli strains for which we have data about resistance. This model will then be applied to other strains and will pinpoint the gene(s) that are liable for resistance. The outcome of this project will be identifying genes that are responsible for antibiotic resistance/susceptibility.
Faculty Mentors & Instructors
Dr. Catherine Putonti, Director of Bioinformatics
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Identifying Gene Mutations For E. coli Antibiotic Resistance
One of mankind’s greatest challenges is fighting a never ending war against pathogens. Antibiotics, a relatively new advancement, have proven successful for decades. My project aims to be able to predict a bacterial strains’ resistance/susceptibility to antibiotics through analyzing the presence/absence of genes. The algorithm I am developing will be tested against E. coli strains for which we have data about resistance. This model will then be applied to other strains and will pinpoint the gene(s) that are liable for resistance. The outcome of this project will be identifying genes that are responsible for antibiotic resistance/susceptibility.