Intelligent data acquisition blends targeted and discovery methods

Journal of Proteome Research

Volumn 13, Issue 4, 2014, Pages 2152-2161

  Bailey, Derek J ^a   McDevitt, Molly T ^a,b   Westphall, Michael S ^a   Pagliarini, David J ^a   Coon, Joshua J ^a,b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

data dependent acquisition; discovery; elution order alignment; nano LC MS MS; peptide identification; real time data analysis; target

Indexed keywords

PEPTIDE; PEPTIDE FRAGMENT; PROTEIN;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DATA COLLECTION METHOD; ELUTION; INTELLIGENT DATA ACQUISITION; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOUSE; NANOANALYSIS; NONHUMAN; PEPTIDE ANALYSIS; PRIORITY JOURNAL; PROTEIN DETERMINATION; PROTEIN TARGETING; TANDEM MASS SPECTROMETRY; ANIMAL; ARTIFICIAL INTELLIGENCE; C57BL MOUSE; CHEMISTRY; MALE; METABOLISM; PROCEDURES; PROTEOMICS; REPRODUCIBILITY;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CHROMATOGRAPHY, LIQUID; MALE; MICE; MICE, INBRED C57BL; PEPTIDE FRAGMENTS; PROTEINS; PROTEOMICS; REPRODUCIBILITY OF RESULTS; TANDEM MASS SPECTROMETRY;

EID: 84898715794     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr401278j     Document Type: Article

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