Statistically appraising process quality of affinity isolation experiments

Computational Statistics and Data Analysis

Volumn 53, Issue 5, 2009, Pages 1720-1726

  Sharp, Julia L ^a   Borkowski, John J ^b   Schmoyer, Denise ^c   Daly, Don S ^d   Purvine, Samuel ^d   Cannon, William R ^d   Hurst, Gregory B ^c  

^a CLEMSON UNIVERSITY   (United States)

^b MONTANA STATE UNIVERSITY   (United States)

^c OAK RIDGE NATIONAL LABORATORY   (United States)

^d PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CUSTOMER SATISFACTION; EXPERIMENTS; IDENTIFICATION (CONTROL SYSTEMS); MASS SPECTROMETERS; MASS SPECTROMETRY; PROCESS CONTROL; PROTEINS; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; SPECTROMETERS; SPECTROMETRY; TOTAL QUALITY MANAGEMENT;

ASSIGNABLE CAUSE; CONTROL LIMITS; CONTROL MIXTURES; CUMULATIVE SUMS; IDENTIFICATION OF PROTEINS; MASS SPECTROMETRIC ANALYSIS; MASS SPECTROMETRIC IDENTIFICATIONS; MOVING RANGE CHARTS; OUT OF CONTROLS; PROCESS MEANS; PROCESS QUALITIES; PROTEIN ASSOCIATIONS; PROTEIN-PROTEIN INTERACTIONS; RANDOM VARIABILITIES; REAL TIME; STATISTICAL QUALITY CONTROLS;

QUALITY CONTROL;

EID: 60349102453     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.05.011     Document Type: Article

References (13)

1. Berggard T., Linse S., and James P. Methods for the detection and analysis of protein-protein interactions. Proteomics 7 (2007) 2833-2842
2. Elias J.E., and Gygi S.P. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry. Nature Methods 4 (2007) 207-214
3. Eng, J., Yates, J., 1999. Sequest. http://fields.scripps.edu/sequest/start.html
4. Eng J.K., McCormack A.L., and Yates III J.R. An approach to correlate tandem mass spectral data of peptides with amino acide sequences in a protein database. Journal of the American Society for Mass Spectrometry 5 11 (1994) 976-989
5. Hawkins D.M., and Olwell D.H. Cumulative Sum Charts and Charting for Quality Iimprovement (1998), Springer-Verlag New York, Inc., New York, NY
6. Lucas J.M. Counted data cusum's. Technometrics 27 2 (1985) 129-144
7. Montgomery D.C. Introduction to Statistical Quality Control. fifth ed (2005), John Wiley & Sons, Inc
8. ®Software: Usage and Reference, Version 6, Volumes 1 and 2. first ed (1995), SAS Institute Inc., Cary, NC
9. SAS Institute Inc. SAS 9.1.3 Help and Documentation (2000-2004), SAS Institute Inc., Cary, NC
10. Smith J.C., Lamber J.P., Elisma F., and Figeys D. Proteomics in 2005/2006: Developments, applications and challenges. Analytical Chemistry 79 (2007) 4325-4343
11. Strader M.B., Tabb D.L., Hervey W.J., Pan C., and Hurst G.B. Efficient and specific trypsin digestion of microgram to nanogram quantities of proteins in organic-aqueous solven systems. Analytical Chemistry 78 1 (2006) 125-134
12. Tabb D.L., McDonald W.H., and Yates W.H. DTASelect and contrast: Tools for assembling and comparing protein identifications from shotgun proteomics. Journal of Proteome Research 1 (2002) 21-26
13. von Neumann J., Kent R.H., Bellinson H.R., and Hart B.I. The mean square successive difference. The Annals of Mathematical Statistics 12 2 (1941) 153-162