Pedro Navarro

发表

Label-free quantification in ion mobility–enhanced data-independent acquisition proteomics

Stefan Tenzer, Ute Distler, Jörg Kuharev, 2016, Nature Protocols.

Swath-ms: a new data independent acquisition LC-MS methodology for quantitative complete proteome analysis

Lars Malmström, Ruedi Aebersold, Lukas Reiter, 2011 .

In‐depth evaluation of software tools for data‐independent acquisition based label‐free quantification

Stefan Tenzer, Ute Distler, Jörg Kuharev, 2015, Proteomics.

A multi-center study benchmarks software tools for label-free proteome quantification

Yasset Perez-Riverol, Brendan MacLean, Ruedi Aebersold, 2016, Nature Biotechnology.

An open-source computational and data resource to analyze digital maps of immunopeptidomes

Alessandro Sette, Ruedi Aebersold, Lucia Espona, 2015, eLife.

General statistical framework for quantitative proteomics by stable isotope labeling.

Concha Gil, María Luisa Hernáez, Fernando García, 2014, Journal of proteome research.

TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics

Lars Malmström, Giuseppe Testa, Ruedi Aebersold, 2016, Nature Methods.

Conserved Peptide Fragmentation as a Benchmarking Tool for Mass Spectrometers and a Discriminating Feature for Targeted Proteomics*

Ruedi Aebersold, Alexander Leitner, Pedro Navarro, 2014, Molecular & Cellular Proteomics.

Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics

Stefan Tenzer, Ute Distler, Jörg Kuharev, 2013, Nature Methods.

A refined method to calculate false discovery rates for peptide identification using decoy databases.

Pedro Navarro, Pedro Navarro, J. Vázquez, 2009, Journal of proteome research.