QuaMeter: Multivendor Performance Metrics for LC鈥揗S/MS Proteomics Instrumentation
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- 作者：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
- 刊名：Analytical Chemistry
- 出版年：2012
- 出版时间：July 17, 2012
- 年：2012
- 卷：84
- 期：14
- 页码：5845-5850
- 全文大小：301K
- 年卷期：v.84,no.14(July 17, 2012)
- ISSN：1520-6882
文摘
LC鈥揗S/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鈥揗S/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.