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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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MacLean D (2019)

R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis. Packt Publishing.

Ding P, Ngou BPM, Oliver J. Furzer OJ, Sakai T, Shrestha RK, MacLean D, Jones JDG (2019)

High-resolution Expression Profiling of Selected Gene Sets during Plant Immune Activation. bioRxiv preprint Sep 23, 2019 doi: https://doi.org/10.1101/775973

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De la Concepcion JC, Franceschetti M, MacLean D, Terauchi R, Kamoun S, Banfield MJ (2019)

Protein engineering expands the effector recognition profile of a rice NLR immune receptor. Elife. 2019 Sep 19;8. pii: e47713. doi: 10.7554/eLife.47713.

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MacLean D (2019)

A convolutional neural network for predicting transcriptional regulators of genes in Arabidopsis transcriptome data reveals classification based on positive regulatory interactions. bioRxiv preprint Apr 28, 2019 doi: https://doi.org/10.1101/618926

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