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Publications by Computational Biology and Bioinformatics

Lovell-Read, F. et al. (2020) “Interventions targeting nonsymptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case-study”, pp. 2020.11.06.20226969 – 2020.11.06.20226969.
Riley, S. et al. (2020) “High prevalence of SARS-CoV-2 swab positivity and increasing R number in England during October 2020: REACT-1 round 6 interim report”, pp. 2020.10.30.20223123 – 2020.10.30.20223123.
Klimm, F. et al. (2020) “Functional module detection through integration of single-cell RNA sequencing data with protein–protein interaction networks”, BMC Genomics, 21(1).
Hawryluk, I. et al. (2020) “Inference of COVID-19 epidemiological distributions from Brazilian hospital data: Inference of COVID-19 epidemiological distributions from Brazilian hospital data”, Journal of the Royal Society Interface, 17(172).
Achdout, H. et al. (2020) “COVID Moonshot: open science discovery of SARS-CoV-2 main protease inhibitors by combining crowdsourcing, high-throughput experiments, computational simulations, and machine learning”, bioRxiv [Preprint].
Morris, G. et al. (2020) “Novel knowledge-based conformer sampling for macrocycles.”
Morris, G. et al. (2020) “Rapidly estimating conformational entropy in small molecules.”
O’Driscoll, M. et al. (2020) “A comparative analysis of statistical methods to estimate the reproduction number in emerging epidemics with implications for the current COVID-19 pandemic”, Clinical Infectious Diseases, 73(1), pp. e215 - e223.
Riley, S. et al. (2020) “High and increasing prevalence of SARS-CoV-2 swab positivity in England during end September beginning October 2020: REACT-1 round 5 updated report”, pp. 2020.10.12.20211227 – 2020.10.12.20211227.
Riley, S. et al. (2020) “High prevalence of SARS-CoV-2 swab positivity in England during September 2020: interim report of round 5 of REACT-1 study”, pp. 2020.09.30.20204727 – 2020.09.30.20204727.