| Orchestrating high-throughput genomic analysis with Bioconductor W Huber, VJ Carey, R Gentleman, S Anders, M Carlson, BS Carvalho, ... Nature methods 12 (2), 115-121, 2015 | 3556 | 2015 |
| A cross-platform toolkit for mass spectrometry and proteomics MC Chambers, B Maclean, R Burke, D Amodei, DL Ruderman, ... Nature biotechnology 30 (10), 918-920, 2012 | 3406 | 2012 |
| ProteomeXchange provides globally coordinated proteomics data submission and dissemination JA Vizcaíno, EW Deutsch, R Wang, A Csordas, F Reisinger, D Ríos, ... Nature biotechnology 32 (3), 223-226, 2014 | 2737 | 2014 |
| A subcellular map of the human proteome PJ Thul, L Ĺkesson, M Wiking, D Mahdessian, A Geladaki, H Ait Blal, ... Science 356 (6340), eaal3321, 2017 | 2724 | 2017 |
| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827, 2010 | 874 | 2010 |
| Accounting for the multiple natures of missing values in label-free quantitative proteomics data sets to compare imputation strategies C Lazar, L Gatto, M Ferro, C Bruley, T Burger Journal of proteome research 15 (4), 1116-1125, 2016 | 443 | 2016 |
| BioContainers: an open-source and community-driven framework for software standardization F da Veiga Leprevost, BA Grüning, S Alves Aflitos, HL Röst, J Uszkoreit, ... Bioinformatics 33 (16), 2580-2582, 2017 | 414 | 2017 |
| MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation L Gatto, KS Lilley Bioinformatics 28 (2), 288-289, 2012 | 359 | 2012 |
| DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics S Wieczorek, F Combes, C Lazar, Q Giai Gianetto, L Gatto, A Dorffer, ... Bioinformatics 33 (1), 135-136, 2017 | 271 | 2017 |
| A draft map of the mouse pluripotent stem cell spatial proteome A Christoforou, CM Mulvey, LM Breckels, A Geladaki, T Hurrell, ... Nature communications 7 (1), 9992, 2016 | 249 | 2016 |
| Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics A Geladaki, N Kočevar Britovšek, LM Breckels, TS Smith, OL Vennard, ... Nature communications 10 (1), 331, 2019 | 188 | 2019 |
| Human urinary exosomes as innate immune effectors TF Hiemstra, PD Charles, T Gracia, SS Hester, L Gatto, R Al-Lamki, ... Journal of the American Society of Nephrology 25 (9), 2017-2027, 2014 | 186 | 2014 |
| Molecular networks in Network Medicine: Development and applications EK Silverman, HHHW Schmidt, E Anastasiadou, L Altucci, M Angelini, ... Wiley Interdisciplinary Reviews: Systems Biology and Medicine 12 (6), e1489, 2020 | 176 | 2020 |
| Ten simple rules for taking advantage of Git and GitHub Y Perez-Riverol, L Gatto, R Wang, T Sachsenberg, J Uszkoreit, ... PLoS computational biology 12 (7), e1004947, 2016 | 172 | 2016 |
| The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience J Griss, AR Jones, T Sachsenberg, M Walzer, L Gatto, J Hartler, ... Molecular & Cellular Proteomics 13 (10), 2765-2775, 2014 | 152 | 2014 |
| Using hyperLOPIT to perform high-resolution mapping of the spatial proteome CM Mulvey, LM Breckels, A Geladaki, NK Britovšek, DJH Nightingale, ... Nature protocols 12 (6), 1110-1135, 2017 | 130 | 2017 |
| Effects of traveling wave ion mobility separation on data independent acquisition in proteomics studies PV Shliaha, NJ Bond, L Gatto, KS Lilley Journal of proteome research 12 (6), 2323-2339, 2013 | 124 | 2013 |
| ensembldb: an R package to create and use Ensembl-based annotation resources J Rainer, L Gatto, CX Weichenberger Bioinformatics 35 (17), 3151-3153, 2019 | 122 | 2019 |
| Interferon regulatory factor 7‐mediated responses are defective in cord blood plasmacytoid dendritic cells B Danis, TC George, S Goriely, B Dutta, J Renneson, L Gatto, ... European journal of immunology 38 (2), 507-517, 2008 | 115 | 2008 |
| Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata L Gatto, LM Breckels, S Wieczorek, T Burger, KS Lilley Bioinformatics 30 (9), 1322-1324, 2014 | 109 | 2014 |
kathryn lilleyProfessor of Cellular DynamicsVerified email at cam.ac.uk
