MSFragger

MSFragger-DDA+ enhances peptide identification sensitivity by detecting co-fragmented peptides with high sensitivity and speed through comprehensive full isolation window search for each tandem mass spectrum.


Key Features:

  • Fragment ion indexing algorithm: MSFragger-DDA+ utilizes a fragment ion indexing algorithm to perform a comprehensive search within the full isolation window for each tandem mass spectrum.
  • Co-fragmented peptide detection: The algorithm detects co-fragmented peptides, including low-abundance co-fragmented peptides, that traditional tools often miss when focusing on a single peptide per tandem mass spectrum.
  • Feature detection, filtering, and rescoring: MSFragger-DDA+ applies robust feature detection, filtering, and rescoring procedures to refine search results.
  • Wide-window acquisition compatibility: MSFragger-DDA+ is uniquely suited for wide-window acquisition data.
  • False discovery rate control: The tool maintains stringent false discovery rate control while significantly increasing identification sensitivity.
  • FragPipe integration: MSFragger-DDA+ is integrated within the FragPipe computational platform for comprehensive proteomics data analysis.

Scientific Applications:

  • Bottom-up proteomics: MSFragger-DDA+ identifies peptides from data-dependent acquisition mass spectrometry data in liquid chromatography-mass spectrometry based proteomics using the bottom-up approach.
  • Chimeric spectra analysis: MSFragger-DDA+ addresses peptide co-fragmentations leading to chimeric spectra that are frequently neglected by traditional database search tools.
  • Low-abundance peptide detection: MSFragger-DDA+ enhances detection of low-abundance co-fragmented peptides for more comprehensive proteome coverage.

Methodology:

MSFragger-DDA+ performs a comprehensive search within the full isolation window for each tandem mass spectrum using MSFragger's fragment ion indexing algorithm, followed by robust feature detection, filtering, and rescoring procedures to refine search results.

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Added:
2/22/2026
Last Updated:
2/22/2026

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