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Lost in taxonomy: Why bacterial type strains are the anchor we need
Professor David Ussery and Dr. Ake Vastermark, bioinformatics and microbial taxonomy experts at Oklahoma State University, introduce the challenges of defining bacterial species in an era of rapidly expanding genomic data. Their article highlights how modern genome-based tools can bring clarity to this evolving field.
What can we learn from millions of viral genome sequences?
David Ussery and Pratul Agarwal, Professors in the Department of Physiological Sciences at Oklahoma State University, discuss their work using high-performance computing for the analysis of millions of viral genome sequences.
Using machine learning to predict the severity of salmonella infection
David Ussery, a Professor in the Department of BioMedical Informatics at UAMS, and his student, Aakash Bhattacharyya, discuss using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome sequencing.
Bioinformatics into TB surveillance: A new approach to an ancient foe
David Ussery, a Professor in the Department of BioMedical Informatics at UAMS, and his Ph.D. student Brian Delavan discuss bioinformatics into TB surveillance, presenting a new approach to tackling this ancient foe.
E. coli genomes, big data, and messy biology
Here, David Ussery from the Department of BioMedical Informatics, UAMS, details E. coli genome diversity, big data, and messy biology. New methods, we discover, allow for the comparison of millions of bacterial genomes in a few days and the confident assignment of taxonomic clusters.
