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Our exciting projects range from genomics through bioinformatics and citizen science to evolutionary modeling. We bring together biology, computational science and bioinformatics to make the most of big data and help answer big questions.

We study data from citizen science projects to understand how the ‘crowd’ can be used as a super-intelligent computer.

We develop tools and methods to make the most of high throughput sequence data to study non-reference, non-model organisms

We use mathematical modelling techniques to understand what drives genome size and the dynamics of gene regulation.

Latest Publications

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Furzer O, Cevik V, Fairhead S, Bailey K, Redkar A, Schudmoma C, MacLean D, Holub EB, Jones JDG (2021)

An improved assembly of the Albugo candida Ac2V genome reveals the expansion of the “CCG” class of effectors. Mol Plant Microbe Interact. 2021 Sep 21. doi: 10.1094/MPMI-04-21-0075-R.

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Derevnina L, Contreras MP, Adachi H, Upson J, Vergara Cruces A, Xie R, Skłenar J, Menke FLH, Mugford ST, MacLean D, Ma W, Hogenhout S, Goverse A, Maqbool A, Wu CH, Kamoun S (2021)

Plant pathogens convergently evolved to counteract redundant nodes of an NLR immune receptor network. PLoS Biol. 2021 Aug 23;19(8):e3001136. doi: 10.1371/journal.pbio.3001136.

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Ding P, Sakai T, Shrestha RK, Perez NM, Guo W, Ngou BPM, He S, Liu C, Feng X, Zhang R, Vandepoele K, MacLean D, Jones JDG (2021)

Chromatin accessibility landscapes activated by cell-surface and intracellular immune receptors. J Exp Bot. 2021 Aug 13:erab373. doi: 10.1093/jxb/erab373.

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Kristianingsih R, MacLean D (2021)

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks. BMC Bioinformatics. 2021 Jul 17;22(1):372. doi: 10.1186/s12859-021-04293-3.

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