Exploiting the CCS-Dimension with TIMScore with PaSER

Exploiting the CCS-Dimension with TIMScore with PaSER ...

One of the key challenges that arise in proteomics is the conversion of complex LC-MS/MS datasets into tangible peptide spectrum matches (PSMs) and then peptide identifications that can be used for protein inference, quantification, PTM analysis, and proteome sequence coverage in complex samples. Trapped ion mobility spectrometry (TIMS) has made significant advancements in proteomics, while simultaneously providing sensitivity, selectivity, and speed to proteomics research.

  • Boosts the numbers of proteins, peptides and PSMs in complex datasets
  • Increases protein sequence coverage substantially
  • Provides an additional dimension for more precise and accurate peptide assignments

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