Dan Smith

NameDan Smith
Job titleBioinformatics Scientist
Email addressdan.smith@rothamsted.ac.uk
DepartmentIntelligent Data Ecosystems
ORCIDhttps://orcid.org/0000-0003-3158-3969
OfficeHarpenden

Research outputs

Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen

Chen, H., King, R., Smith, D., Bayon, C., Ashfield, T., Torriani, S., Kanyuka, K., Hammond-Kosack, K. E., Bieri, S. and Rudd, J. J. 2023. Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen. BMC Biology. 21, p. 24. https://doi.org/10.1186/s12915-023-01520-6

Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen

Chen, H., King, R., Smith, D., Bayon, C., Ashfield, T., Torriani, S., Kanyuka, K., Hammond-Kosack, K. E., Bieri, S. and Rudd, J. J. 2022. Combined pangenomics and transcriptomics reveals core and redundant virulence processes in a rapidly evolving fungal plant pathogen. Rothamsted Research. https://doi.org/10.23637/rothamsted.98q90

In silico characterisation of the complete Ly6 protein family in Fasciola gigantica supported through transcriptomics of the newly-excysted juveniles

Davey, S. D., Chalmers, I. W., Fernandez-Fuentes, N., Swain, M. T., Smith, D., Abbas Abidi, S. M., Saifullah, M. K., Raman, M., Ravikumar, G., McVeigh, P., Maule, A. G., Brophy, P. M. and Morphew, R. M. 2022. In silico characterisation of the complete Ly6 protein family in Fasciola gigantica supported through transcriptomics of the newly-excysted juveniles. Molecular Omics. 1. https://doi.org/10.1039/D1MO00254F

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