A probabilistic framework for peptide and protein quantification from data-dependent and data-independent LC-MS proteomics experiments

OMICS A Journal of Integrative Biology

Volumn 16, Issue 9, 2012, Pages 468-482

  Richardson, Keith ^a   Denny, Richard ^a   Hughes, Chris ^a   Skilling, John ^b   Sikora, Jacek ^c   Dadlez, Michał ^c   Manteca, Angel ^d,e   Jung, Hye Ryung ^e,f   Jensen, Ole Nørregaard ^e,f   Redeker, Virginie ^g   Melki, Ronald ^g   Langridge, James I ^a   Vissers, Johannes P C ^a  

^a WATERS CORPORATION   (United States)

^b Maximum Entropy Data Consultants ^*  (Ireland)

^c INSTITUTE OF BIOCHEMISTRY AND BIOPHYSICS   (Poland)

^d DEPARTAMENTO DE BIOQUÍMICA Y BIOLOGÍA MOLECULAR   (Spain)

^e UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^f Centre for Epigenetics   (Denmark)

^g LABORATOIRE D ENZYMOLOGIE ET BIOCHIMIE STRUCTURALES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CONTROLLED STUDY; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; POISSON DISTRIBUTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN DETERMINATION; PROTEOMICS; QUANTITATIVE ANALYSIS; RELIABILITY; UNCERTAINTY;

CHROMATOGRAPHY, LIQUID; MASS SPECTROMETRY; PEPTIDES; PROTEINS; PROTEOMICS;

EID: 84866306619     PISSN: 15362310     EISSN: 15578100     Source Type: Journal    
DOI: 10.1089/omi.2012.0019     Document Type: Article

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