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Oliver M Bernhardt

Showing results (1-10 of 14) with videos related to

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Proteomics|May 24, 2016
High-precision iRT prediction in the targeted analysis of data-independent acquisition and its impact on identification and quantitationRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Molecular & Cellular Proteomics : MCP|January 18, 2019
Data-independent Acquisition Improves Quantitative Cross-linking Mass SpectrometryFränze Müller, Lars Kolbowski, Oliver M Bernhardt, et al.
Molecular Omics|August 30, 2019
Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategyJan Muntel, Tejas Gandhi, Lynn Verbeke, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
A Comprehensive and Robust Multiplex-DIA Workflow Profiles Protein Turnover Regulations Associated with Cisplatin ResistanceBarbora Salovska, Wenxue Li, Oliver M Bernhardt, et al.
Molecular & Cellular Proteomics : MCP|October 27, 2017
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of ResultsRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Journal of Proteome Research|April 16, 2020
Revealing Dynamic Protein Acetylation across Subcellular CompartmentsJosue Baeza, Alexis J Lawton, Jing Fan, et al.
Molecular & Cellular Proteomics : MCP|January 7, 2015
Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometryNathalie Selevsek, Ching-Yun Chang, Ludovic C Gillet, et al.
Nature Communications|February 9, 2020
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral librariesDorte B Bekker-Jensen, Oliver M Bernhardt, Alexander Hogrebe, et al.
Journal of Proteome Research|April 5, 2023
MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at ScaleDevon Kohler, Mateusz Staniak, Tsung-Heng Tsai, et al.
Molecular & Cellular Proteomics : MCP|March 1, 2015
Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissuesRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Proteomics|May 24, 2016
High-precision iRT prediction in the targeted analysis of data-independent acquisition and its impact on identification and quantitationRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Molecular & Cellular Proteomics : MCP|January 18, 2019
Data-independent Acquisition Improves Quantitative Cross-linking Mass SpectrometryFränze Müller, Lars Kolbowski, Oliver M Bernhardt, et al.
Molecular Omics|August 30, 2019
Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategyJan Muntel, Tejas Gandhi, Lynn Verbeke, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
A Comprehensive and Robust Multiplex-DIA Workflow Profiles Protein Turnover Regulations Associated with Cisplatin ResistanceBarbora Salovska, Wenxue Li, Oliver M Bernhardt, et al.
Molecular & Cellular Proteomics : MCP|October 27, 2017
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of ResultsRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Journal of Proteome Research|April 16, 2020
Revealing Dynamic Protein Acetylation across Subcellular CompartmentsJosue Baeza, Alexis J Lawton, Jing Fan, et al.
Molecular & Cellular Proteomics : MCP|January 7, 2015
Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometryNathalie Selevsek, Ching-Yun Chang, Ludovic C Gillet, et al.
Nature Communications|February 9, 2020
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral librariesDorte B Bekker-Jensen, Oliver M Bernhardt, Alexander Hogrebe, et al.
Journal of Proteome Research|April 5, 2023
MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at ScaleDevon Kohler, Mateusz Staniak, Tsung-Heng Tsai, et al.
Molecular & Cellular Proteomics : MCP|March 1, 2015
Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissuesRoland Bruderer, Oliver M Bernhardt, Tejas Gandhi, et al.
Pageof 2