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.
Oses-Ruiz M, Martin-Urdiroz M, Soanes DM, Kershaw MJ, Cruz-Mireles N, Valdovinos-Ponce G, Molinari C, Littlejohn GR, Derbyshire P, Menke F, Valent B, Talbot NJ (2020)
A hierarchical transcriptional network controls appressorium-mediated plant infection by the rice blast fungus Magnaporthe oryzae. bioRxiv preprint Feb 06, 2020 doi: https://doi.org/10.1101/2020.02.05.936203Read more
Langner T, Harant A, Gómez-Luciano LB, Shrestha RK, Win J, Kamoun S (2020)
Genomic rearrangements generate hypervariable mini-chromosomes in host-specific lineages of the blast fungus. bioRxiv preprint Jan 11, 2020 doi: https://doi.org/10.1101/2020.01.10.901983Read more
Ding P, Ngou BPM, Furzer OJ, Sakai T, Shrestha RK, MacLean D, Jones JDG (2020)
High-resolution Expression Profiling of Selected Gene Sets during Plant Immune Activation. Plant Biotechnol J. 2020 Jan 8. doi: 10.1111/pbi.13327.Read more
MacLean D (2019)
R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis. Packt Publishing.