| PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud K Peters, J Bradbury, S Bergmann, M Capuccini, M Cascante, P de Atauri, ... bioRxiv, 409151, 2018 | 71 | 2018 |
| MUSCLE: automated multi-objective evolutionary optimisation of targeted LC-MS/MS analysis J Bradbury, G Genta-Jouve, JW Allwood, WB Dunn, R Goodacre, ... Bioinformatics, btu740, 2014 | 21 | 2014 |
| Automated development of an LC-MS/MS method for measuring multiple vitamin D metabolites using MUSCLE software C Jenkinson, J Bradbury, A Taylor, JS Adams, S He, MR Viant, ... Analytical Methods 9 (18), 2723-2731, 2017 | 8 | 2017 |
| Virtual Landmarking for Locality Aware Peer IDs A Allan, J Bradbury, G Di Fatta AP2PS 2011, The Third International Conference on Advances in P2P Systems, 7-12, 2011 | 1 | 2011 |
| Three minute run time LC-MS/MS method for separation and quantifying 25-hydroxyvitamin D from C3-epimers C Jenkinson, J Bradbury, A Taylor, S He, M Viant, M Hewison Society for Endocrinology BES 2016 44, 2016 | | 2016 |
| A novel UPLC-MS/MS method to extract and quantify sulphated and non-sulphated oestrogens automatically optimised using MUSCLE software L Gilligan, J Bradbury, A Taylor, S He, O Donna, M Viant, P Foster Society for Endocrinology BES 2014 34, 2014 | | 2014 |
Alexander AllanReading UniversityVerified email at student.reading.ac.uk
