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Analytical Chemistry

Volumn 74, Issue 7, 2002, Pages 1650-1657

Analysis of quantitative proteomic data generated via multidimensional protein identification technology

(5) Washburn, Michael P a Ulaszek, Ryan a Deciu, Cosmin a Schieltz, David M a Yates III, John R a,b

a SYNGENTA BIOTECHNOLOGY INC (United States)

b SCRIPPS RESEARCH INSTITUTE (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE MIXTURES;

CELL CULTURE; CHROMATOGRAPHIC ANALYSIS; GROWTH KINETICS; MASS SPECTROMETRY;

PROTEINS;

NITROGEN 14; NITROGEN 15; PROTEOME; UNCLASSIFIED DRUG; NITROGEN; PEPTIDE FRAGMENT; PROTEIN;

ACCURACY; ARTICLE; COMPLEX FORMATION; CONCENTRATION (PARAMETERS); CULTURE MEDIUM; FUNGUS CULTURE; MASS SPECTROMETRY; NONHUMAN; PROTEIN ANALYSIS; PROTEOMICS; QUANTITATIVE ANALYSIS; REVERSED PHASE LIQUID CHROMATOGRAPHY; SACCHAROMYCES CEREVISIAE; TECHNIQUE; CHEMISTRY; ELECTROSPRAY MASS SPECTROMETRY; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; METABOLISM; STATISTICS;

CHROMATOGRAPHY, HIGH PRESSURE LIQUID; NITROGEN ISOTOPES; PEPTIDE FRAGMENTS; PROTEINS; PROTEOME; SACCHAROMYCES CEREVISIAE; SPECTROMETRY, MASS, ELECTROSPRAY IONIZATION; STATISTICS;

EID: 0036535357 PISSN: 00032700 EISSN: None Source Type: Journal
DOI: 10.1021/ac015704l Document Type: Article

Times cited : (387)

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