Nicholas John White

This study tracks the 28-year evolution of a Burkholderia pseudomallei strain in sterile water, identifying genetic changes and metabolic adaptations to nutrient-depletion.

This study evaluates the transmission-blocking effects of artesunate, chloroquine, and methylene blue on Plasmodium vivax gametocytes, finding that only artesunate and methylene blue significantly reduce oocyst and sporozoite development.

The paper develops a molecular barcode and online tool to identify and map imported Plasmodium vivax infections using SNP analysis and machine learning.

The paper improves statistical power in severe malaria genetic studies by addressing phenotypic imprecision through a probabilistic diagnostic model and data-tilting approach.

The paper identifies a transcriptional profile in artemisinin-resistant Plasmodium falciparum that originates from initial drug responses and involves proteotoxic stress and REDOX metabolism.

This paper warns against using unsupervised machine learning algorithms like PCoA and HAC to infer malaria parasite ancestry from genetic distance matrices, highlighting their limitations and providing guidance for more rigorous analysis.