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RE-FIGS

Repeated Enhancing with Featured Ion-Guided Stoichiometry (RE-FIGS) is a complete and compact solution on DI-SPA data for more confident identifications and corresponding label free quantifications.

RE-FIGS-ID.py

The bootstrap aggregation linear discriminant analysis based identification.

  • mzML_file: the mzml file path
  • SSM_file: the spectrum spectrum match results file (csodiaq csv format file before FDR filtering)
  • lib_file: the spectral library path
  • start_cycle: the cycle No. starts from
  • end_cycle: the cycle No. ends with
  • good_shared_limit: the threshold to select good target.
  • good_cos_sim_limit: the threshold to select good target. range(0,1)
  • good_sqrt_cos_sim_limit: the threshold to select good target. range(0,1)
  • good_count_within_cycle_limit: the threshold to select good target.
  • tol: fragment mass error(tolerance) in ppm.
  • scans_per_cycle: the scan number in each cycle.
  • seed: the seed to randomly choose decoy.

RE-FIGS-Quant.py

label free quantification on DI-SPA data.

  • mzML_file:the mzml file path
  • SSM_file: the final identification results file
  • lib_file: the spectral library path
  • topN: keep topN peaks in spectral library.
  • tol: fragment mass error(tolerance) in ppm.

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