David Lund

Doctoral Student at Applied Mathematics and Statistics

My research focuses on large-scale analysis of DNA sequencing data, to
study the spread and evolution of antibiotic resistance in bacteria. In my research I apply bioinformatic methods and models, such as Hidden Markov Models.

Source: chalmers.se
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Showing 4 publications

2023

Latent antibiotic resistance genes are abundant, diverse, and mobile in human, animal, and environmental microbiomes

Juan Salvador Inda Diaz, David Lund, Marcos Parras Moltó et al
Microbiome. Vol. 11 (1), p. 44-
Journal article
2023

Extensive screening reveals previously undiscovered aminoglycoside resistance genes in human pathogens

David Lund, Roelof Dirk Coertze, Marcos Parras Moltó et al
Communications Biology. Vol. 6 (1)
Journal article
2022

Large-scale characterization of the macrolide resistome reveals high diversity and several new pathogen-associated genes

David Lund, Nicolas Kieffer, Marcos Parras Moltó et al
Microbial Genomics. Vol. 8 (1)
Journal article

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