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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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Tomlinson L, Yang Y, Emenecker R, Smoker M, Taylor J, Perkins S, Smith J, MacLean D, Olszewski NE, Jones JDG (2018)

Using CRISPR/Cas9 genome editing in tomato to create a gibberellin-responsive dominant dwarf DELLA allele. Plant Biotechnol J. 2018 May 24. doi: 10.1111/pbi.12952.

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McMullan M, Rafiqi M, Kaithakottil G, Clavijo BJ, Bilham L, Orton E, Percival-Alwyn L, Ward BJ, Edwards A, Saunders DGO, Garcia Accinelli G, Wright J, Verweij W, Koutsovoulos G, Yoshida K, Hosoya T, Williamson L, Jennings P, Ioos R, Husson C, Hietala AM, Vivian-Smith A, Solheim H, MacLean D, Fosker C, Hall N, Brown JKM, Swarbreck D, Blaxter M, Downie JA, Clark MD (2018)

The ash dieback invasion of Europe was founded by two genetically divergent individuals. Nat Ecol Evol. 2018 Apr 23. doi: 10.1038/s41559-018-0548-9.

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Faulkner C, Zhou J, Evrard A, Bourdais G, MacLean D, Häweker H, Eckes P, Robatzek S (2017)

An automated quantitative image analysis tool for the identification of microtubule patterns in plants. Traffic. 2017 Jul 26. doi: 10.1111/tra.12505.

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Wirthmueller L, Asai S, Rallapalli G, Sklenar J, Fabro G, Kim DS, Lintermann R, Jaspers P, Wrzaczek M, Kangasjärvi L, MacLean D, Menke FLH, Banfield MJ, JDG (2017)

An Oomycete Effector Protein Induces Shade Avoidance In Arabidopsis And Attenuates Salicylate Signaling By Binding To Host Proteins Of The RADICAL-INDUCED CELL DEATH1 Family. bioRxiv preprint May 14, 2017 doi: https://doi.org/10.1101/137844

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