Publications referencing Proteomics Standards and Controls



  • Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics
    Wilhelm et al., Nature Comunications (2021) - PMID: 34099720


  • 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


  • 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
  • Zolg et al., Proteomics (2017) - PMID: 28872757

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