Pedro Navarro
Pedro Navarro
Verified email at thermofisher.com
Title
Cited by
Cited by
Year
Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis
LC Gillet, P Navarro, S Tate, H Röst, N Selevsek, L Reiter, R Bonner, ...
Molecular & Cellular Proteomics 11 (6), O111. 016717, 2012
16802012
OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
HL Röst, G Rosenberger, P Navarro, L Gillet, SM Miladinović, ...
Nature biotechnology 32 (3), 219, 2014
4512014
OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
HL Röst, G Rosenberger, P Navarro, L Gillet, SM Miladinović, ...
Nature biotechnology 32 (3), 219, 2014
4472014
Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics
U Distler, J Kuharev, P Navarro, Y Levin, H Schild, S Tenzer
Nature Methods, 2013
2712013
Building high-quality assay libraries for targeted analysis of SWATH MS data
OT Schubert, LC Gillet, BC Collins, P Navarro, G Rosenberger, WE Wolski, ...
Nature protocols 10 (3), 426, 2015
1912015
Quantitative measurements of N‐linked glycoproteins in human plasma by SWATH‐MS
Y Liu, R Hüttenhain, S Surinova, LCJ Gillet, J Mouritsen, R Brunner, ...
Proteomics 13 (8), 1247-1256, 2013
1842013
Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry
N Selevsek, CY Chang, LC Gillet, P Navarro, OM Bernhardt, L Reiter, ...
Molecular & Cellular Proteomics 14 (3), 739-749, 2015
1392015
A refined method to calculate false discovery rates for peptide identification using decoy databases
P Navarro, J Vázquez
Journal of proteome research 8 (4), 1792-1796, 2009
1362009
A multicenter study benchmarks software tools for label-free proteome quantification
P Navarro, J Kuharev, LC Gillet, OM Bernhardt, B MacLean, HL Röst, ...
Nature Biotechnology, 2016
1332016
Properties of Average Score Distributions of SEQUEST The Probability Ratio Method
S Martínez-Bartolomé, P Navarro, F Martín-Maroto, D López-Ferrer, ...
Molecular & Cellular Proteomics 7 (6), 1135-1145, 2008
1082008
Label-free quantification in ion mobility–enhanced data-independent acquisition proteomics
U Distler, J Kuharev, P Navarro, S Tenzer
nature protocols 11 (4), 795, 2016
1042016
TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics
HL Röst, Y Liu, G D'Agostino, M Zanella, P Navarro, G Rosenberger, ...
Nature methods 13 (9), 777-783, 2016
972016
A robust method for quantitative high-throughput analysis of proteomes by 18O labeling
E Bonzon-Kulichenko, D Pérez-Hernández, E Núńez, P Martínez-Acedo, ...
Molecular & Cellular Proteomics 10 (1), M110. 003335, 2011
892011
An open-source computational and data resource to analyze digital maps of immunopeptidomes
E Caron, L Espona, DJ Kowalewski, H Schuster, N Ternette, A Alpízar, ...
Elife 4, 2015
882015
General statistical framework for quantitative proteomics by stable isotope labeling
P Navarro, M Trevisan-Herraz, E Bonzon-Kulichenko, E Núñez, ...
Journal of proteome research 13 (3), 1234-1247, 2014
832014
Statistical Model to Analyze Quantitative Proteomics Data Obtained by 18O/16O Labeling and Linear Ion Trap Mass Spectrometry Application to the Study of Vascular Endothelial …
I Jorge, P Navarro, P Martínez-Acedo, E Núńez, H Serrano, A Alfranca, ...
Molecular & Cellular Proteomics 8 (5), 1130-1149, 2009
742009
Conserved peptide fragmentation as a benchmarking tool for mass spectrometers and a discriminating feature for targeted proteomics
UH Toprak, LC Gillet, A Maiolica, P Navarro, A Leitner, R Aebersold
Molecular & Cellular Proteomics 13 (8), 2056-2071, 2014
602014
In‐depth evaluation of software tools for data‐independent acquisition based label‐free quantification
J Kuharev, P Navarro, U Distler, O Jahn, S Tenzer
Proteomics 15 (18), 3140-3151, 2015
402015
The tegument protein pp65 of human cytomegalovirus acts as an optional scaffold protein that optimizes protein uploading into viral particles
S Reyda, S Tenzer, P Navarro, W Gebauer, M Saur, S Krauter, N Büscher, ...
Journal of virology 88 (17), 9633-9646, 2014
292014
Quantitative proteomics by 2‐DE, 16O/18O labelling and linear ion trap mass spectrometry analysis of lymph nodes from piglets inoculated by porcine circovirus type 2
M Ramírez‐Boo, E Núnez, I Jorge, P Navarro, LT Fernandes, J Segalés, ...
Proteomics 11 (17), 3452-3469, 2011
262011
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