Oliver M Bernhardt

MassIVE.quant: a community resource of quantitative mass spectrometry-based proteomics datasets

Yasset Perez-Riverol, Alexey I Nesvizhskii, Guo Ci Teo, 2020, Nature Methods.

Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results*

Oliver M. Bernhardt, Oliver M Bernhardt, Roland Bruderer, 2017, Molecular & Cellular Proteomics.

Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry*

Oliver M. Bernhardt, Ludovic C. Gillet, Oliver M Bernhardt, 2015, Molecular & Cellular Proteomics.

Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry*

Oliver M. Bernhardt, Oliver M Bernhardt, L. Reiter, 2019, Molecular & Cellular Proteomics.

Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance

Loïc Dayon, Roland Bruderer, Oliver M. Bernhardt, 2019, Molecular & Cellular Proteomics.

Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy.

Roland Bruderer, Oliver M. Bernhardt, Lukas Reiter, 2019, Molecular omics.