Scott Wesley Long

The paper develops a rules-based classifier to predict ciprofloxacin resistance in Klebsiella pneumoniae from genotype data and demonstrates its global distribution association with quinolone consumption.

The paper analyzes intra-host genomic variation in Haemophilus influenzae isolates from asymptomatic nasopharyngeal carriers, identifying 120 genes with SNPs and diverse functional roles.

This paper reclassifies SHV β-lactamase alleles in K. pneumoniae genomes based on mutations, improving genotype-phenotype understanding and updating the Kleborate tool.

The paper compares ARTIC V3 and V4 primer sets for SARS-CoV-2 sequencing, finding improved performance and underrepresentation of G142D substitution in early Delta genomes due to V3 primer limitations.

The paper sequences 320 SARS-CoV-2 genomes from Houston to study early pandemic spread, finding diverse origins and no evidence of more virulent strains.

This study uses XGBoost to predict antimicrobial MICs for nontyphoidal Salmonella with high accuracy using genomic data.

This study develops an XGBoost-based machine learning model to predict minimum inhibitory concentrations for 20 antibiotics in Klebsiella pneumoniae using whole genome sequencing data, achieving 92% overall accuracy.