Publications by Computational Biology and Bioinformatics

Barbour, A. and Reinert, G. (2021) “Estimating the correlation in network disturbance models”, Journal of Complex Networks, 9(5).

Davies, B. et al. (2021) “Altering the binding properties of PRDM9 partially restores fertility across the species boundary”, Molecular Biology and Evolution, 38(12), pp. 5555–5562.

Sanchez-Garcia, R. et al. (2021) “DeepEMhancer: a deep learning solution for cryo-EM volume post-processing”, Communications Biology, 4(1), p. 874.

Bennett, S., Cucuringu, M. and Reinert, G. (2021) “Detection and clustering of lead-lag networks for multivariate time series with an application to financial markets”, in.

Fang, S. et al. (2021) “A Bayesian semi-parametric model for thermal proteome profiling”, Communications Biology, 4(1), p. 810.

Speidel, L. et al. (2021) “Inferring population histories for ancient genomes using genome-wide genealogies”, Molecular Biology and Evolution, 38(9), pp. 3497–3511.

He, Y., Reinert, G. and Cucuringu, M. (2021) “DIGRAC: Digraph Clustering Based on Flow Imbalance”, in.

Davies, R. et al. (2021) “Rapid genotype imputation from sequence with reference panels”, Nature Genetics, 53(7), pp. 1104–1111.

Klimm, F., Deane, C. and Reinert, G. (2021) “Hypergraphs for predicting essential genes using multiprotein complex data”, Journal of Complex Networks, 9(2).

Robinson, S. et al. (2021) “Epitope profiling of coronavirus-binding antibodies using computational structural modelling.”