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Robert Wilkinson

Seoul
As seen in: Color Research & Application, Nature, Nature Reviews Neurology, The Conversation, Thorax, BioRxiv, The Korea Times (Korea), The Lancet, AllAfrica, The Korea Herald and
Corporate Real Estate Professional from 🇬🇧 and 🇻🇪 living in 🇰🇷 Liverpool FC Fan #YNWA - All Views are my own
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Articles

Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts

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By William J. Branchett, Jessica Shields, Probir Chakravarty, Jo Lee, Hubert Slawinski, Katalin A Wilkinson, Robert Wilkinson, Anver Kamil, Raman Verma, Pranabashis Haldar, Anne O’Garra, Jee-Whang Kim, Ismail Novsarka
| Nature Verified
Abstract The local immune factors dictating whether individuals who have been infected with Mycobacterium tuberculosis remain healthy or progress to active tuberculosis (TB) have not been defined.
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Predicting trajectories of illness using RNA velocity of whole blood

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By Claire Dunican, Clare Wilson Verified, Dominic Habgood-Coote, Mahdad Noursadeghi, Cari Stek, Robert Wilkinson, Philipp Agyeman, Giske Biesbroek, Ulrich von Both, Enitan D. Carrol, Giselle D’Souza, Tisham De, Marieke Emonts, Katy Fidler, Colin Fink, Laura Kolberg, Taco W. Kuijpers, Federico Martinón-Torres, Samuel Nichols, Stephane Paulus, Marko Pokorn, Andrew Pollard Verified, Irene Rivero-Calle, Luregn J. Schlapbach, Nina Schweintzger, Ching-Fen Shen, Shrijana Shrestha, Chantal D Tan, Maria Tsolia, Effua Abigail Usuf, Clementien L Vermont, Shunmay Yeung, Dace Zavadska, Werner Zenz, Victoria Wright, Michael Levin, Jethro A. Herberg, Rachel Lai, Graeme Meintjes, Christopher J Chiu, Mauricio Barahona, Myrsini Kaforou, Aubrey J Cunnington, Suzanna Paterson, Raymond Moseki, Coco R. Beudeker, Karen Brengel-Pesce, Lachlan J. M. Coin, Michiel van der Flier, Ioanna Georgaki, Mojca Kolnik, Marine Mommert-Tripon, Aleksandra Rudzate, Fabian van der Velden, Marie Voice
| Nature Verified
Abstract Transcriptomic analyses reveal the status of cells, tissues, or organisms, across states of health and disease. RNA velocity adds a temporal dimension to single cell analyses, predicting future transcriptomic and phenotypic states, based on the current spliced and unspliced mRNA of each cell. We hypothesized that RNA velocity could be adapted to predict future clinical state of individuals with acute and chronic illnesses, using their whole-blood transcriptomes.
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Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny - Nature Methods

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By Martin Hunt, Angie S Hinrichs, Daniel Anderson, Lily Karim, Bethany L Dearlove, Bede Constantinides, Philip Fowler, Teresa Street, Benjamin Kotzen, Nicola De Maio, Reuben Ayivor-Djanie, Matthew Bashton, Andreas Bergthaler, Stefan A. Boers, Alexander T. Dilthey, Kwabena Obeng Duedu, Lukas Endler, Ilka Engelmann, Ngiambudulu M. Francisco, Jonas Fuchs, Etienne Z. Gnimpieba, Jones Gyamfi, Matthew Huska, Hanna Jarva, Ravi Kant, Marie Lataretu, Gathsaurie Neelika Malavige, Niranjan Nagarajan, Marcus Panning, Peter K. Quashie, Diyanath Ranasinghe, James Emmanuel San, Nicholas Sanderson, Bryan Tegomoh, Olli Vapalahti, Andreas Walker, Robert Wilkinson, Carolyn Williamson, Tulio de Oliveira, Derrick W Crook, Russell B. Corbett-Detig, Jeff Knaggs, Dennis Heemskerk, Satu Kurkela, Brigitte Montes
| Nature Verified
Abstract The majority of SARS-CoV-2 genomes obtained during the pandemic were derived by amplifying overlapping windows of the genome (‘tiled amplicons’), reconstructing their sequences and fitting them together. This leads to systematic errors in genomes unless the software is both aware of the amplicon scheme and of the error modes of amplicon sequencing.
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