During studying a Natural Sciences degree, which included a diverse range of different scientific disciplines, I became interested in the application of machine learning techniques to problems in Biology, which led me to bioinformatics.
I am interested in the use of bioinformatics for studying the rice blast fungus (Magnaporthe oryzae) population structure, and how this could improve understanding of the adaption of this destructive plant pathogen.
Angus.Malmgren@tsl.ac.uk
+44 (0) 1603 450401
Genomic rearrangements generate hypervariable mini-chromosomes in host-specific isolates of the blast fungus. PLoS Genet. 2021 Feb 16;17(2):e1009386. doi: 10.1371/journal.pgen.1009386.
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Differential loss of effector genes in three recently expanded pandemic clonal lineages of the rice blast fungus. BMC Biol. 2020 Jul 16;18(1):88. doi: 10.1186/s12915-020-00818-z.
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Recently expanded clonal lineages of the rice blast fungus display distinct patterns of presence/absence of effector genes. bioRxiv preprint Jan 13, 2020 doi: https://doi.org/10.1101/2020.01.09.900308
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