| Evaluating the effects of SARS-CoV-2 spike mutation D614G on transmissibility and pathogenicity E Volz, V Hill, JT McCrone, A Price, D Jorgensen, Á O’Toole, J Southgate, ... Cell 184 (1), 64-75. e11, 2021 | 1062 | 2021 |
| Evolution and epidemic spread of SARS-CoV-2 in Brazil DS Candido, IM Claro, JG De Jesus, WM Souza, FRR Moreira, ... Science 369 (6508), 1255-1260, 2020 | 652 | 2020 |
| Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK L du Plessis, JT McCrone, AE Zarebski, V Hill, C Ruis, B Gutierrez, ... Science 371 (6530), 708-712, 2021 | 368 | 2021 |
| SARS-CoV-2 within-host diversity and transmission KA Lythgoe, M Hall, L Ferretti, M de Cesare, G MacIntyre-Cockett, ... Science 372 (6539), eabg0821, 2021 | 296 | 2021 |
| Ultra-deep, long-read nanopore sequencing of mock microbial community standards SM Nicholls, JC Quick, S Tang, NJ Loman Gigascience 8 (5), giz043, 2019 | 247 | 2019 |
| Exploring the genetic architecture of inflammatory bowel disease by whole-genome sequencing identifies association at ADCY7 Y Luo, KM de Lange, L Jostins, L Moutsianas, J Randall, NA Kennedy, ... Nature Genetics, 2017 | 205 | 2017 |
| Generation and transmission of interlineage recombinants in the SARS-CoV-2 pandemic B Jackson, MF Boni, MJ Bull, A Colleran, RM Colquhoun, AC Darby, ... Cell 184 (20), 5179-5188. e8, 2021 | 204 | 2021 |
| An integrated national scale SARS-CoV-2 genomic surveillance network DM Aanensen, K Abudahab, A Adams, S Afifi, MT Alam, A Alderton, ... Elsevier, 0 | 173* | |
| CLIMB-COVID: continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance SM Nicholls, R Poplawski, MJ Bull, A Underwood, M Chapman, ... Genome Biology 22 (1), 1-21, 2021 | 66 | 2021 |
| In-field metagenome and 16S rRNA gene amplicon nanopore sequencing robustly characterize glacier microbiota A Edwards, AR Debbonaire, SM Nicholls, SME Rassner, B Sattler, ... bioRxiv, 073965, 2019 | 40 | 2019 |
| Future-proofing and maximizing the utility of metadata: The PHA4GE SARS-CoV-2 contextual data specification package EJ Griffiths, RE Timme, CI Mendes, AJ Page, NF Alikhan, D Fornika, ... GigaScience 11, 2022 | 23 | 2022 |
| On the complexity of haplotyping a microbial community SM Nicholls, W Aubrey, K De Grave, L Schietgat, CJ Creevey, A Clare Bioinformatics 37 (10), 1360-1366, 2021 | 18 | 2021 |
| The PHA4GE SARS-CoV-2 contextual data specification for open genomic epidemiology EJ Griffiths, RE Timme, AJ Page, NF Alikhan, D Fornika, F Maguire, ... MDPI AG, 2020 | 14 | 2020 |
| Probabilistic recovery of cryptic haplotypes from metagenomic data SM Nicholls, W Aubrey, K De Grave, L Schietgat, CJ Creevey, A Clare bioRxiv, 117838, 2017 | 4 | 2017 |
| Goldilocks: a tool for identifying genomic regions that are ‘just right’ SM Nicholls, A Clare, JC Randall Bioinformatics 32 (13), 2047-2049, 2016 | 3 | 2016 |
| Advances in the recovery of haplotypes from the metagenome SM Nicholls, W Aubrey, K de Grave, L Schietgat, CJ Creevey, A Clare bioRxiv, 067215, 2016 | 3 | 2016 |
| COVID-19 Genomics UK (COG-UK) Consortium, Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK L du Plessis, JT McCrone, AE Zarebski, V Hill, C Ruis, B Gutierrez, ... Science 371, 708-712, 2021 | 2* | 2021 |
| Computational recovery of enzyme haplotypes from a metagenome S Nicholls Aberystwyth University, 2018 | 2 | 2018 |
| Computational haplotype recovery and long-read validation identifies novel isoforms of industrially relevant enzymes from natural microbial communities SM Nicholls, W Aubrey, A Edwards, K de Grave, S Huws, L Schietgat, ... bioRxiv, 223404, 2017 | 2 | 2017 |
| Defining the analytical and clinical sensitivity of the ARTIC method for the detection of SARS-CoV-2 NF Alikhan, J Quick, AJ Trotter, SC Robson, M Bashton, GL Kay_, ... medRxiv, 2021 | 1 | 2021 |
Nicholas J LomanProfessor of Microbial Genomics and Bioinformatics, University of BirminghamDirección de correo verificada de bham.ac.uk
