IMonDB: Mass spectrometry quality control through instrument monitoring

Journal of Proteome Research

Volumn 14, Issue 5, 2015, Pages 2360-2366

  Bittremieux, Wout ^a   Willems, Hanny ^b   Kelchtermans, Pieter ^b,c,d   Martens, Lennart ^c,d   Laukens, Kris ^a   Valkenborg, Dirk ^a,b,e  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^c DEPARTMENT OF PLANT SYSTEMS BIOLOGY   (Belgium)

^d GHENT UNIVERSITY   (Belgium)

^e HASSELT UNIVERSITY   (Belgium)

Author keywords

database; iMonDB; instrument monitoring; mass spectrometry; quality control

Indexed keywords

ARTICLE; CONTROLLED VOCABULARY; DATA MINING; ELECTROSPRAY; INFORMATION PROCESSING; INFORMATION SYSTEM; INSTRUMENT MONITORING DATABASE; MASS SPECTROMETRY; PRIORITY JOURNAL; PROTEOMICS; QUALITY CONTROL; REFERENCE DATABASE; COMPUTER PROGRAM; DEVICE FAILURE ANALYSIS; DEVICES; FACTUAL DATABASE; HUMAN; STANDARDS;

DATABASES, FACTUAL; EQUIPMENT FAILURE ANALYSIS; HUMANS; MASS SPECTROMETRY; PROTEOMICS; QUALITY CONTROL; SOFTWARE;

EID: 84929659364     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/acs.jproteome.5b00127     Document Type: Article

References (13)

1. Martens, L. Bringing proteomics into the clinic: The need for the field to finally take itself seriously Proteomics: Clin. Appl. 2013, 7, 388-391
2. Tabb, D. L. Quality assessment for clinical proteomics Clin. Biochem. 2013, 46, 411-420
3. Rudnick, P. A. Performance metrics for liquid chromatography-tandem mass spectrometry systems in proteomics analyses Mol. Cell. Proteomics 2010, 9, 225-241
4. Pichler, P.; Mazanek, M.; Dusberger, F.; Weilnböck, L.; Huber, C. G.; Stingl, C.; Luider, T. M.; Straube, W. L.; Köcher, T.; Mechtler, K. SIMPATIQCO: A server-based software suite which facilitates monitoring the time course of LC-MS performance metrics on Orbitrap instruments J. Proteome Res. 2012, 11, 5540-5547
5. Taylor, R. M.; Dance, J.; Taylor, R. J.; Prince, J. T. Metriculator: quality assessment for mass spectrometry-based proteomics Bioinformatics 2013, 29, 2948-2949
6. Bereman, M. S.; Johnson, R.; Bollinger, J.; Boss, Y.; Shulman, N.; MacLean, B.; Hoofnagle, A. N.; MacCoss, M. J. Implementation of statistical process control for proteomic experiments via LC MS/MS J. Am. Soc. Mass Spectrom. 2014, 25, 581-587
7. Martens, L. mzML-a community standard for mass spectrometry data Mol. Cell. Proteomics 2011, 10, R110.000133
8. Scheltema, R. A.; Mann, M. SprayQc: A real-time LC-MS/MS quality monitoring system to maximize uptime using off the shelf components J. Proteome Res. 2012, 11, 3458-3466
9. Mayer, G. The HUPO proteomics standards initiative- mass spectrometry controlled vocabulary Database 2013, 2013, bat009
10. Chambers, M. C. A cross-platform toolkit for mass spectrometry and proteomics Nat. Biotechnol. 2012, 30, 918-920
11. Walzer, M. qcML: An exchange format for quality control metrics from mass spectrometry experiments Mol. Cell. Proteomics 2014, 13, 1905-1913
12. Bittremieux, W.; Kelchtermans, P.; Valkenborg, D.; Martens, L.; Laukens, K. jqcML: An open-source Java API for mass spectrometry quality control data in the qcML format J. Proteome Res. 2014, 13, 3484-3487
13. Wang, X.; Chambers, M. C.; Vega-Montoto, L. J.; Bunk, D. M.; Stein, S. E.; Tabb, D. L. QC metrics from CPTAC raw LC-MS/MS data interpreted through multivariate statistics Anal. Chem. 2014, 86, 2497-2509