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Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

Cahuantzi R. et al, (2024), Proceedings of the National Academy of Sciences, 121

Prevalence of persistent SARS-CoV-2 in a large community surveillance study

Ghafari M. et al, (2024), Nature, 626, 1094 - 1101

Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey

Lythgoe KA. et al, (2023), Proceedings of the Royal Society B: Biological Sciences, 290

The evolution of SARS-CoV-2.

Markov PV. et al, (2023), Nature reviews. Microbiology, 21, 361 - 379

The mutational spectrum of SARS-CoV-2 genomic and antigenomic RNA

Zhao L. et al, (2022), Proceedings of the Royal Society B: Biological Sciences, 289

Using phylogenetics to infer HIV-1 transmission direction between known transmission pairs

Villabona-Arenas CJ. et al, (2022), Proceedings of the National Academy of Sciences, 119

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

Overton CE. et al, (2022), PLOS Computational Biology, 18, e1010406 - e1010406

SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway

Willett BJ. et al, (2022), Nature Microbiology, 7, 1161 - 1179

Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021.

Smallman-Raynor MR. et al, (2022), Epidemiology and infection, 150

Challenges in control of COVID-19: short doubling time and long delay to effect of interventions

Pellis L. et al, (2021), Philosophical Transactions of the Royal Society B: Biological Sciences, 376, 20200264 - 20200264

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