Randall J. Olsen

Gene contribution of Streptococcus dysgalactiae subspecies equisimilis, an emerging pathogen, to experimental primate necrotizing myositis

This study identifies essential and conditionally essential genes in SDSE using TraDIS in vitro and in vivo, highlighting nutrient acquisition as critical for infection.

Intra-host genomic variation of Haemophilus influenzae isolates from asymptomatic nasopharyngeal carriers involves genes encoding proteins with diverse inferred functions

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

Analysis of the ARTIC version 3 and version 4 SARS-CoV-2 primers and their impact on the detection of the G142D amino acid substitution in the spike protein

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.

Molecular Architecture of Early Dissemination and Evolution of the SARS-CoV-2 Virus in Metropolitan Houston, Texas

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.

Using machine learning to predict antimicrobial minimum inhibitory concentrations and associated genomic features for nontyphoidal Salmonella

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

Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae

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.