Arthur W. Pightling

A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing

Erik Alm, Kok-Gan Chan, Lukas M. Weber, 2021, F1000Research.

Interpreting Whole-Genome Sequence Analyses of Foodborne Bacteria for Regulatory Applications and Outbreak Investigations

Hugh Rand, Joseph D. Baugher, Errol Strain, 2018, Front. Microbiol..

The Listeria monocytogenes Core-Genome Sequence Typer (LmCGST): a bioinformatic pipeline for molecular characterization with next-generation sequence data

Arthur W. Pightling, N. Petronella, F. Pagotto, 2015, BMC Microbiology.

Real-Time Pathogen Detection in the Era of Whole-Genome Sequencing and Big Data: Comparison of k-mer and Site-Based Methods for Inferring the Genetic Distances among Tens of Thousands of Salmonella Samples

Hugh Rand, Joseph D. Baugher, Errol Strain, 2016, PloS one.

Choice of Reference Sequence and Assembler for Alignment of Listeria monocytogenes Short-Read Sequence Data Greatly Influences Rates of Error in SNP Analyses

Arthur W. Pightling, N. Petronella, F. Pagotto, 2014, PloS one.