Felipe da Veiga Leprevost
Felipe da Veiga Leprevost
Research Investigator, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Zitiert von
Zitiert von
MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
AT Kong, FV Leprevost, DM Avtonomov, D Mellacheruvu, AI Nesvizhskii
Nature methods 14 (5), 513-520, 2017
Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0
PC Carvalho, DB Lima, FV Leprevost, MDM Santos, JSG Fischer, ...
Nature protocols 11 (1), 102-117, 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
Discovering and linking public omics data sets using the Omics Discovery Index
Y Perez-Riverol, M Bai, F da Veiga Leprevost, S Squizzato, YM Park, ...
Nature biotechnology 35 (5), 406-409, 2017
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
Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
DJ Clark, SM Dhanasekaran, F Petralia, J Pan, X Song, Y Hu, ...
Cell 180 (1), 207, 2020
Reevaluating the Trypanosoma cruzi proteomic map: The shotgun description of bloodstream trypomastigotes
GVF Brunoro, MA Caminha, AT da Silva Ferreira, F da Veiga Leprevost, ...
Journal of proteomics 115, 58-65, 2015
On best practices in the development of bioinformatics software
FV Leprevost, VC Barbosa, EL Francisco, Y Perez-Riverol, PC Carvalho
Frontiers in genetics 5, 199, 2014
PepExplorer: a similarity-driven tool for analyzing de novo sequencing results
FV Leprevost, RH Valente, DB Lima, J Perales, R Melani, JR Yates, ...
Molecular & Cellular Proteomics 13 (9), 2480-2489, 2014
Proteogenomic characterization reveals therapeutic vulnerabilities in lung adenocarcinoma
MA Gillette, S Satpathy, S Cao, SM Dhanasekaran, SV Vasaikar, K Krug, ...
Cell 182 (1), 200-225. e35, 2020
Computational Proteomics Pitfalls and Challenges: HavanaBioinfo 2012 Workshop Report
Y Perez-Riverol, H Hermjakob, O Kohlbacher, L Martens, D Creasy, J Cox, ...
Journal of Proteomics, 2013
Effectively addressing complex proteomic search spaces with peptide spectrum matching
D Borges, Y Perez-Riverol, FCS Nogueira, GB Domont, J Noda, ...
Bioinformatics, 2013
Venomous extract protein profile of Brazilian tarantula Grammostola iheringi: searching for potential biotechnological applications
MH Borges, SG Figueiredo, FV Leprevost, ME De Lima, MN Cordeiro, ...
Journal of Proteomics 136, 35-47, 2016
A multi-protease, multi-dissociation, bottom-up-to-top-down proteomic view of the Loxosceles intermedia venom
D Trevisan-Silva, AV Bednaski, JSG Fischer, SS Veiga, N Bandeira, ...
Scientific data 4, 170090, 2017
The Ewing sarcoma secretome and its response to activation of Wnt/beta-catenin signaling
AG Hawkins, V Basrur, F da Veiga Leprevost, E Pedersen, C Sperring, ...
Molecular & Cellular Proteomics 17 (5), 901-912, 2018
Recommendations for the packaging and containerizing of bioinformatics software
G Bjorn, S Olivier, P Moreno, M Hervé, D Søndergaard, R Hannes, S Timo, ...
F1000Research 7, 2019
Quantitative proteomic analysis of the Saccharomyces cerevisiae industrial strains CAT-1 and PE-2
RM Santos, FCS Nogueira, AA Brasil, PC Carvalho, FV Leprevost, ...
Journal of proteomics 151, 114-121, 2017
Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors
SI Djomehri, ME Gonzalez, F da Veiga Leprevost, SR Tekula, HY Chang, ...
Nature communications 11 (1), 1-15, 2020
Pinpointing differentially expressed domains in complex protein mixtures with the cloud service of PatternLab for Proteomics
FV Leprevost, DB Lima, J Crestani, Y Perez-Riverol, N Zanchin, ...
Journal of proteomics 89, 179-182, 2013
Philosopher: a versatile toolkit for shotgun proteomics data analysis
F da Veiga Leprevost, SE Haynes, DM Avtonomov, HY Chang, ...
Nature methods 17 (9), 869-870, 2020
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