| The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009 | 808 | 2009 |
| Towards robot scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated experimentation 2, 1-11, 2010 | 207 | 2010 |
| Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases K Williams, E Bilsland, A Sparkes, W Aubrey, M Young, LN Soldatova, ... Journal of the Royal society Interface 12 (104), 20141289, 2015 | 166 | 2015 |
| The EXACT description of biomedical protocols LN Soldatova, W Aubrey, RD King, A Clare Bioinformatics 24 (13), i295-i303, 2008 | 71 | 2008 |
| The robot scientist Adam RD King, J Rowland, W Aubrey, M Liakata, M Markham, LN Soldatova, ... Computer 42 (8), 46-54, 2009 | 69 | 2009 |
| Yeast-based automated high-throughput screens to identify anti-parasitic lead compounds E Bilsland, A Sparkes, K Williams, HJ Moss, M de Clare, P Pir, J Rowland, ... Open biology 3 (2), 120158, 2013 | 43 | 2013 |
| No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study NJ Dimonaco, W Aubrey, K Kenobi, A Clare, CJ Creevey Bioinformatics 38 (5), 1198-1207, 2022 | 40 | 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 analysis of yeast cell morphology features in exponential and stationary Phase Y Liu, W Aubrey, K Martin, A Sparkes, C Lu, RD King Journal of Biological Systems 19 (04), 561-575, 2011 | 15 | 2011 |
| Make way for robot scientists RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 325 (5943), 945-945, 2009 | 13 | 2009 |
| Pd5: A general purpose library for primer design software MC Riley, W Aubrey, M Young, A Clare PloS one 8 (11), e80156, 2013 | 11 | 2013 |
| Recovery of gene haplotypes from a metagenome S Nicholls, W Aubrey, A Edwards, K de Grave, S Huws, S Leander, ... | 7 | 2018 |
| An integrated laboratory robotic system for autonomous discovery of gene function A Sparkes, RD King, W Aubrey, M Benway, E Byrne, A Clare, M Liakata, ... JALA: Journal of the Association for Laboratory Automation 15 (1), 33-40, 2010 | 7 | 2010 |
| No one tool to rule them all: Prokaryotic gene prediction tool performance is highly dependent on the organism of study NJ Dimonaco, W Aubrey, K Kenobi, A Clare, CJ Creevey BioRxiv, 2021.05. 21.445150, 2021 | 4 | 2021 |
| 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 |
| 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 |
| StORF-Reporter: finding genes between genes NJ Dimonaco, A Clare, K Kenobi, W Aubrey, CJ Creevey Nucleic Acids Research 51 (21), 11504-11517, 2023 | 2 | 2023 |
| 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 |
| Eve: Integration of machine learning with compound testing in a robot scientist K Williams, E Bilsland, A Sparkes, W Aubrey, M Young, LN Soldatova, ... Antenna Live: Robot Scientist, Location: London, 2015 | 2 | 2015 |
| Uncovering the dark matter of the metagenome one read at a time N Dimonaco, C Creevey, R Hoehndorf, M Kulmanov, W Liuwei, A Clare, ... Access Microbiology 1 (1A), 864, 2019 | 1 | 2019 |
