Assessing bias in experiment design for large scale mass spectrometry-based quantitative proteomics

Molecular and Cellular Proteomics

Volumn 6, Issue 10, 2007, Pages 1741-1748

  Prakash, Amol ^a,c,e   Piening, Brian ^b,c   Whiteaker, Jeff ^c   Zhang, Heidi ^c   Shaffer, Scott A ^b   Martin, Daniel ^c,d   Hohmann, Laura ^d   Cooke, Kelly ^d   Olson, James M ^c   Hansen, Stacey ^c   Flory, Mark R ^g   Lee, Hookeun ^f   Watts, Julian ^d   Goodlett, David R ^b   Aebersold, Ruedi ^d,f   Paulovich, Amanda ^c   Schwikowski, Benno ^a,e  

^a University of Washington   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c USA   (United States)

^d INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^e INSTITUT PASTEUR   (France)

^f Institute of Molecular Systems Biology and Chemistry   (Switzerland)

^g WESLEYAN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METHODOLOGY; PRIORITY JOURNAL; PROTEOMICS; QUALITY CONTROL; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; SAMPLING; STANDARDIZATION; SYSTEMATIC ERROR;

ANGIOTENSIN II; ANIMALS; BIAS (EPIDEMIOLOGY); BIOLOGICAL MARKERS; CELL CYCLE; CHROMATOGRAPHY, LIQUID; DISEASE MODELS, ANIMAL; FREEZING; HUMANS; HUNTINGTON DISEASE; MASS SPECTROMETRY; MICE; PROTEOMICS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SACCHAROMYCES CEREVISIAE; TIME FACTORS;

EID: 35648980489     PISSN: 15359476     EISSN: None     Source Type: Journal    
DOI: 10.1074/mcp.M600470-MCP200     Document Type: Article

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