Back

Angus Malmgren

Predoctoral Scientist
Sophien Kamoun Group

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

Publications

Latorre SM, Reyes-Avila CS, Malmgren A, Win J, Kamoun S, Burbano HA (2020)

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.

Read more

Latorre SM, Reyes-Avila CS, Malmgren A, Win J, Kamoun S, Burbano HA (2020)

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

Read more