Publications referencing Proteomics Standards and Controls
2021
2021
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics Wilhelm et al., Nature Comunications (2021) - PMID: 34099720
2020
2020
Data, Reagents, Assays and Merits of Proteomics for SARS-CoV-2 Research and Testing Zecha et al., Molecular and Cellular Proteomics (2020) - PMID: 32591346
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS Bian et al., Nature Communications (2020) - PMID: 31919466
Archive
Archive
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning Gessulat et al., Nature Methods (2019) - PMID: 31133760
High-Throughput Assessment of Kinome-wide Activation States Schmidlin et al., Cell Systems (2019) - PMID: 31521607
ProteomeTools: Systematic Characterization of 21 Post-translational Protein Modifications by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Using Synthetic Peptides Zolg et al., Molecular & Cellular Proteomics (2018) - PMID: 29848782
PROCAL: A Set of 40 Peptide Standards for Retention Time Indexing, Column Performance Monitoring, and Collision Energy Calibration
