MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification

@article{Cox2008MaxQuantEH,
  title={MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification},
  author={Juergen Cox and Matthias Mann},
  journal={Nature Biotechnology},
  year={2008},
  volume={26},
  pages={1367-1372}
}
Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope–labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time… CONTINUE READING
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Combined use of RNAi and quantitative proteomics to study gene function in Drosophila

  • T Bonaldi
  • Mol. Cell 31,
  • 2008

SILAC-labeling and proteome quantitation of mouse embryonic stem cells to a depth of 5111 proteins

  • J Graumann
  • Mol. Cell Proteomics
  • 2008

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