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 | 2113 | 2014 |
Orchestrating high-throughput genomic analysis with Bioconductor W Huber, VJ Carey, R Gentleman, S Anders, M Carlson, BS Carvalho, ... Nature methods 12 (2), 115, 2015 | 1980 | 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 | 1474 | 2012 |
A subcellular map of the human proteome PJ Thul, L Ĺkesson, M Wiking, D Mahdessian, A Geladaki, HA Blal, T Alm, ... Science 356 (6340), 2017 | 1043 | 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 | 691 | 2010 |
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 | 186 | 2012 |
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 | 179 | 2016 |
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), 1-12, 2016 | 145 | 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 | 120 | 2017 |
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 | 99 | 2014 |
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 | 99 | 2008 |
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 | 95 | 2014 |
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 | 90 | 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 | 90 | 2013 |
Deciphering thylakoid sub-compartments using a mass spectrometry-based approach M Tomizioli, C Lazar, S Brugičre, T Burger, D Salvi, L Gatto, L Moyet, ... Molecular & Cellular Proteomics 13 (8), 2147-2167, 2014 | 80 | 2014 |
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 | 78 | 2016 |
Improving Qualitative and Quantitative Performance for MSE-based Label-free Proteomics NJ Bond, PV Shliaha, KS Lilley, L Gatto Journal of proteome research 12 (6), 2340-2353, 2013 | 73 | 2013 |
Organelle proteomics experimental designs and analysis L Gatto, JA Vizcaíno, H Hermjakob, W Huber, KS Lilley Proteomics 10 (22), 3957-3969, 2010 | 67 | 2010 |
The effect of organelle discovery upon sub-cellular protein localisation LM Breckels, L Gatto, A Christoforou, AJ Groen, KS Lilley, MWB Trotter Journal of proteomics 88, 129-140, 2013 | 61 | 2013 |
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 | 60 | 2014 |