QuaMeter: Multivendor performance metrics for LC-MS/MS proteomics instrumentation

Ze Qiang Ma, Kenneth O. Polzin, Surendra Dasari, Matthew C. Chambers, Birgit Schilling, Bradford W. Gibson, Bao Q. Tran, Lorenzo Vega-Montoto, Daniel C. Liebler, David L. Tabb

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

LC-MS/MS-based proteomics studies rely on stable analytical system performance that can be evaluated by objective criteria. The National Institute of Standards and Technology (NIST) introduced the MSQC software to compute diverse metrics from experimental LC-MS/MS data, enabling quality analysis and quality control (QA/QC) of proteomics instrumentation. In practice, however, several attributes of the MSQC software prevent its use for routine instrument monitoring. Here, we present QuaMeter, an open-source tool that improves MSQC in several aspects. QuaMeter can directly read raw data from instruments manufactured by different vendors. The software can work with a wide variety of peptide identification software for improved reliability and flexibility. Finally, QC metrics implemented in QuaMeter are rigorously defined and tested. The source code and binary versions of QuaMeter are available under Apache 2.0 License at http://fenchurch.mc.vanderbilt.edu.

Original languageEnglish (US)
Pages (from-to)5845-5850
Number of pages6
JournalAnalytical Chemistry
Volume84
Issue number14
DOIs
StatePublished - Jul 17 2012

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ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Ma, Z. Q., Polzin, K. O., Dasari, S., Chambers, M. C., Schilling, B., Gibson, B. W., Tran, B. Q., Vega-Montoto, L., Liebler, D. C., & Tabb, D. L. (2012). QuaMeter: Multivendor performance metrics for LC-MS/MS proteomics instrumentation. Analytical Chemistry, 84(14), 5845-5850. https://doi.org/10.1021/ac300629p