| Literature DB >> 22697456 |
Ze-Qiang Ma1, 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.
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.Entities:
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Year: 2012 PMID: 22697456 PMCID: PMC3730131 DOI: 10.1021/ac300629p
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986