Dr Martin Swain


Dr Martin Swain

Senior Lecturer

Department of Life Sciences

Contact Details


I am interested in analysing large biological data sets from a variety of organisms, including plants, animals, parasites and microbes. Some recent and current projects include the sequencing of the tsetse fly and biomphalaria genomes, snake venom transcriptome analyses, methylation in flatworms, microRNAs, whole genome comparisons (of sheep and schistosomes), metagenomics of limpet guts and cryoconite, red clover transcriptomics, and the identification of neuropeptide receptors and functions in arthropods.

My other interests include the development of infrastructure and new software methodolgy for the handling and analysis of large data sets in bioinformatics. This involves high performance computing, technologies for data integration and data mining, and the development of new algorithms to analyse high-throughput sequencing data sets.

Research Groups

  • Parasitology and Helminth Control


Hajzer, SP, Jones, A, Jones, D, Miles, H, Ellis, V, Villagra Povina, F, Sganga, M, Swain, M & Bennett-Gillison, S 2023, Towards Ceramics Inspired Physiotherapy for Recovering Stroke Patients. in Computer Graphics and Visual Computing (CGVC). Eurographics. 10.2312/cgvc.20231194
Hajzer, SP, Jones, A, Jones, D, Miles, H, Ellis, V, Sganga, M, Bennett-Gillison, S, Villagra Povina, F & Swain, M 2023, 'Towards Ceramics Inspired Physiotherapy for Recovering Stroke Patients', Computer Graphics & Visual Computing , Aberystwyth, United Kingdom of Great Britain and Northern Ireland, 14 Sept 2023 - 15 Sept 2023. 10.2312/cgvc.20231194
Occhibove, F, Kenobi, K, Swain, M & Risley, C 2022, 'An eco‐epidemiological modeling approach to investigate dilution effect in two different tick‐borne pathosystems', Ecological Applications, vol. 32, no. 3, e2550. 10.1002/eap.2550
Quinn, GA, Abdelhameed, A, Banat, IM, Berrar, D, Doerr, SH, Dudley, E, Francis, LW, Gazze, SA, Hallin, I, Matthews, GP, Swain, MT, Whalley, WR & van Keulen, G 2022, 'Complimentary protein extraction methods increase the identification of the Park Grass Experiment metaproteome', Applied Soil Ecology, vol. 173, 104388. 10.1016/j.apsoil.2022.104388
Davey, SD, Chalmers, IW, Fernandez-Fuentes, N, Swain, MT, Smith, D, Abbas Abidi, SM, Saifullah, MK, Raman, M, Ravikumar, G, McVeigh, P, Maule, AG, Brophy, PM & Morphew, RM 2022, 'In silico characterisation of the complete Ly6 protein family in Fasciola gigantica supported through transcriptomics of the newly-excysted juveniles', Molecular Omics, vol. 18, no. 1, pp. 45-56. 10.1039/D1MO00254F
More publications on the Research Portal