Daniel Golparian

pyngoST enables rapid, simultaneous, and accurate multiple sequence typing of Neisseria gonorrhoeae genomes using WGS data, integrating MLST, NG-MAST, and NG-STAR schemes.

This paper introduces a community-driven genomic resource for Neisseria gonorrhoeae that predicts antimicrobial resistance and supports public health surveillance.

This study traces the evolutionary divergence of Neisseria gonorrhoeae by analyzing global isolates, linking antimicrobial use to the emergence of two distinct lineages with different resistance strategies.

This study evaluates the Oxford Nanopore MinION sequencer for rapid, accurate whole-genome sequencing of Neisseria gonorrhoeae, showing it can predict antimicrobial resistance and support phylogenetic analysis with optimized workflows.