Correcting systematic bias and instrument measurement drift with mzRefinery

Bioinformatics. 2015 Dec 1;31(23):3838-40. doi: 10.1093/bioinformatics/btv437. Epub 2015 Aug 4.


Motivation: Systematic bias in mass measurement adversely affects data quality and negates the advantages of high precision instruments.

Results: We introduce the mzRefinery tool for calibration of mass spectrometry data files. Using confident peptide spectrum matches, three different calibration methods are explored and the optimal transform function is chosen. After calibration, systematic bias is removed and the mass measurement errors are centered at 0 ppm. Because it is part of the ProteoWizard package, mzRefinery can read and write a wide variety of file formats.

Availability and implementation: The mzRefinery tool is part of msConvert, available with the ProteoWizard open source package at


Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Calibration*
  • Chromatography, Liquid / methods
  • Cluster Analysis
  • Humans
  • Information Storage and Retrieval
  • Mass Spectrometry / instrumentation*
  • Mass Spectrometry / methods*
  • Peptide Fragments / analysis*
  • Proteins / analysis*
  • Proteome / analysis*
  • Proteomics / methods
  • Software*


  • Peptide Fragments
  • Proteins
  • Proteome