Publications by Computational Biology and Bioinformatics

Hayes, S. et al. (2024) “Ecology and environment predict spatially stratified risk of highly pathogenic avian influenza in wild birds across Europe”, bioRxiv.

Ferreira, L., Hu, S. and Myers, S. (2024) “Unravelling genetic interactions affecting quantitative traits in the UK Biobank”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 791–792.

McCabe, R. and Donnelly, C. (2023) “Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom”, Journal of the Royal Society Interface, 20.

Carrera, J.-P. et al. (2023) “Real-time RT-PCR for Venezuelan equine encephalitis complex, Madariaga, and Eastern equine encephalitis viruses: application in human and mosquito public health surveillance in Panama”, Journal of Clinical Microbiology, 61(12), pp. e00152 - e00123.

Penn, M. et al. (2023) “Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees”, Genome Biology and Evolution, 15(12).

Vicco, A. et al. (2023) “A simulation-based method to inform serosurvey designs for estimating the force of infection using existing blood samples”, PLoS Computational Biology, 19(11).

Penn, M. et al. (2023) “Sherlock - A flexible, low-resource tool for processing camera-trapping images”, Methods in Ecology and Evolution, 15(1), pp. 91–102.

Abanades, B. et al. (2023) “The patent and literature antibody database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures”, Nucleic Acids Research [Preprint].

Mantziou, A. et al. (2023) “The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights”, Journal of Complex Networks, 11(6).

Kim, Y. et al. (2023) “Lessons for cross-species viral transmission surveillance from highly pathogenic avian influenza Korean cat shelter outbreaks”, Nature Communications, 14(1), pp. 6958–6958.