Shamil Z. Urazbakhtin

This paper introduces metadata integration in MaxQuant to standardize and simplify proteomics data analysis and reuse.

The paper updates MaxQuant for isobaric labeling data, showing improved accuracy and reduced batch effects using weighted median normalization.

This paper introduces a deep learning-based approach for peptide identification in mass spectrometry proteomics that outperforms existing tools by using spectra and peptide sequences directly.