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Bayesian protein sequence and structure alignment (2020)
Journal Article
Fallaize, C. J., Green, P., Mardia, K., & Barber, S. (2020). Bayesian protein sequence and structure alignment. Journal of the Royal Statistical Society: Series C, https://doi.org/10.1111/rssc.12394

© 2020 Royal Statistical Society The structure of a protein is crucial in determining its functionality and is much more conserved than sequence during evolution. A key task in structural biology is to compare protein structures to determine evolutio... Read More about Bayesian protein sequence and structure alignment.

Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China (2019)
Journal Article
Elsheikha, H. M., Cong, W., Zhu, X., Zhang, N., Fallaize, C. J., Hu, R., …Zou, Y. (2020). Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China. Ecotoxicology and Environmental Safety, 189, https://doi.org/10.1016/j.ecoenv.2019.109999

Copyright © 2019 Elsevier Inc. All rights reserved. In the present study, we performed a cross-sectional survey to determine the occurrence and genotype distribution of T. gondii DNA in soil samples collected from different sources from six geographi... Read More about Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China.

Mutation and selection in bacteria: modelling and calibration (2018)
Journal Article
Bayliss, C., Fallaize, C., Howitt, R., & Tretyakov, M. (2018). Mutation and selection in bacteria: modelling and calibration. Bulletin of Mathematical Biology, doi:10.1007/s11538-018-0529-9

Temporal evolution of a clonal bacterial population is modelled taking into account reversible mutation and selection mechanisms. For the mutation model, an efficient algorithm is proposed to verify whether experimental data can be explained by this... Read More about Mutation and selection in bacteria: modelling and calibration.

Exact Bayesian inference for the Bingham distribution (2016)
Journal Article
Fallaize, C. J., & Kypraios, T. (in press). Exact Bayesian inference for the Bingham distribution. Statistics and Computing, 26(1), doi:10.1007/s11222-014-9508-7

This paper is concerned with making Bayesian inference from data that are assumed to be drawn from a Bingham distribution. A barrier to the Bayesian approach is the parameter-dependent normalising constant of the Bingham distribution, which, even whe... Read More about Exact Bayesian inference for the Bingham distribution.