Sequencing-based methods and resources to study antimicrobial resistance
Antimicrobial resistance extracts high morbidity, mortality and economic costs yearly by
rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial …
rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial …
Genome-based prediction of bacterial antibiotic resistance
Clinical microbiology has long relied on growing bacteria in culture to determine
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic …
Introducing the bacterial and viral bioinformatics resource center (BV-BRC): a resource combining PATRIC, IRD and ViPR
Abstract The National Institute of Allergy and Infectious Diseases (NIAID) established the
Bioinformatics Resource Center (BRC) program to assist researchers with analyzing the …
Bioinformatics Resource Center (BRC) program to assist researchers with analyzing the …
The PATRIC Bioinformatics Resource Center: expanding data and analysis capabilities
Abstract The PathoSystems Resource Integration Center (PATRIC) is the bacterial
Bioinformatics Resource Center funded by the National Institute of Allergy and Infectious …
Bioinformatics Resource Center funded by the National Institute of Allergy and Infectious …
Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …
medicine. Effective prevention strategies are urgently required to slow the emergence and …
Antimicrobial resistance in rivers: a review of the genes detected and new challenges
P Grenni - Environmental Toxicology and Chemistry, 2022 - Wiley Online Library
River ecosystems are very important parts of the water cycle and an excellent habitat, food,
and drinking water source for many organisms, including humans. Antibiotics are emerging …
and drinking water source for many organisms, including humans. Antibiotics are emerging …
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella
Nontyphoidal Salmonella species are the leading bacterial cause of foodborne disease in
the United States. Whole-genome sequences and paired antimicrobial susceptibility data …
the United States. Whole-genome sequences and paired antimicrobial susceptibility data …
Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
D Moradigaravand, M Palm, A Farewell… - PLoS computational …, 2018 - journals.plos.org
The emergence of microbial antibiotic resistance is a global health threat. In clinical settings,
the key to controlling spread of resistant strains is accurate and rapid detection. As …
the key to controlling spread of resistant strains is accurate and rapid detection. As …
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae
Antimicrobial resistant infections are a serious public health threat worldwide. Whole
genome sequencing approaches to rapidly identify pathogens and predict antibiotic …
genome sequencing approaches to rapidly identify pathogens and predict antibiotic …
Viruses as key reservoirs of antibiotic resistance genes in the environment
Antibiotic resistance is a rapidly growing health care problem globally and causes many
illnesses and deaths. Bacteria can acquire antibiotic resistance genes (ARGs) by horizontal …
illnesses and deaths. Bacteria can acquire antibiotic resistance genes (ARGs) by horizontal …