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ORCIDLaurent Gatto
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- affiliation: UCLouvain, Brussels, Belgium
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2020 – today
- 2024
[j11]Philippe Hauchamps, Babak Bayat, Simon Delandre, Mehdi Hamrouni, Marie Toussaint, Stephane Temmerman, Dan Lin, Laurent Gatto:
CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data. BMC Bioinform. 25(1): 80 (2024)- 2023
- [j10]Kelly B. Eckenrode
, Dario Righelli, Marcel Ramos, Ricard Argelaguet, Christophe Vanderaa, Ludwig Geistlinger, Aedín C. Culhane, Laurent Gatto, Vincent J. Carey, Martin Morgan, Davide Risso, Levi Waldron:
Curated single cell multimodal landmark datasets for R/Bioconductor. PLoS Comput. Biol. 19(8) (2023) - 2021
- [i3]Theo Killian, Laurent Gatto:
Exploiting the DepMap cancer dependency data using the depmap R package. F1000Research 10: 416 (2021) - 2020
- [j9]Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk:
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection. PLoS Comput. Biol. 16(11): 1008288 (2020)
2010 – 2019
- 2019
- [j8]Johannes Rainer, Laurent Gatto, Christian X. Weichenberger:
ensembldb: an R package to create and use Ensembl-based annotation resources. Bioinform. 35(17): 3151-3153 (2019) - [i2]Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto:
A Bioconductor workflow for the Bayesian analysis of spatial proteomics. F1000Research 8: 446 (2019) - 2018
- [j7]Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto:
A Bayesian mixture modelling approach for spatial proteomics. PLoS Comput. Biol. 14(11) (2018) - 2017
- [j6]Samuel Wieczorek, Florence Combes, Cosmin Lazar, Quentin Giai Gianetto, Laurent Gatto, Alexia Dorffer, Anne-Marie Hesse, Yohann Couté, Myriam Ferro, Christophe Bruley, Thomas Burger:
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics. Bioinform. 33(1): 135-136 (2017) - [j5]Felipe da Veiga Leprevost, Björn A. Grüning, Saulo Aflitos, Hannes L. Röst, Julian Uszkoreit, Harald Barsnes, Marc Vaudel, Pablo A. Moreno, Laurent Gatto, Jonas Weber, Mingze Bai, Rafael C. Jiménez, Timo Sachsenberg, Julianus Pfeuffer, Roberto Vera Alvarez, Johannes Griss, Alexey I. Nesvizhskii, Yasset Pérez-Riverol:
BioContainers: an open-source and community-driven framework for software standardization. Bioinform. 33(16): 2580-2582 (2017) - 2016
- [j4]Lisa M. Breckels, Sean B. Holden, David Wojnar, Claire M. Mulvey, Andy Christoforou, Arnoud Groen, Matthew W. B. Trotter, Oliver Kohlbacher, Kathryn S. Lilley, Laurent Gatto:
Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. PLoS Comput. Biol. 12(5) (2016) - [j3]Yasset Pérez-Riverol, Laurent Gatto, Rui Wang, Timo Sachsenberg, Julian Uszkoreit, Felipe da Veiga Leprevost, Christian Fufezan, Tobias Ternent, Stephen J. Eglen, Daniel S. Katz, Tom J. Pollard, Alexander Konovalov, Robert M. Flight, Kai Blin, Juan Antonio Vizcaíno:
Ten Simple Rules for Taking Advantage of Git and GitHub. PLoS Comput. Biol. 12(7) (2016) - [p1]Lisa M. Breckels, Sebastian Gibb, Vladislav A. Petyuk, Laurent Gatto:
Chapter 14. R for Proteomics. Proteome Informatics 2016: 321-364 - [i1]Lisa M. Breckels, Claire M. Mulvey, Kathryn S. Lilley, Laurent Gatto:
A Bioconductor workflow for processing and analysing spatial proteomics data. F1000Research 5: 2926 (2016) - 2014
- [j2]Laurent Gatto, Lisa M. Breckels, Samuel Wieczorek, Thomas Burger, Kathryn S. Lilley:
Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata. Bioinform. 30(9): 1322-1324 (2014) - 2012
- [j1]Laurent Gatto, Kathryn S. Lilley:
MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation. Bioinform. 28(2): 288-289 (2012)
Coauthor Index
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