Current challenges in software solutions for mass spectrometry-based quantitative proteomics

Amino Acids

Volumn 43, Issue 3, 2012, Pages 1087-1108

  Cappadona, Salvatore ^a,b   Baker, Peter R ^c   Cutillas, Pedro R ^d   Heck, Albert J R ^a,b   Van Breukelen, Bas ^a,b,e  

^a UTRECHT UNIVERSITY   (Netherlands)

^b NETHERLANDS PROTEOMICS CENTRE   (Netherlands)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^e Netherlands Bioinformatics Centre   (Netherlands)

Author keywords

Label free; LC MS; Quantification software; Quantitative proteomics; Stable isotope labeling

Indexed keywords

DEUTERIUM; PEPTIDE; PROLINE;

ANALYTICAL ERROR; CHEMICAL LABELING; COMPUTER PROGRAM; DATA MINING; HUMAN COMPUTER INTERACTION; INFORMATION PROCESSING; ISOTOPE LABELING; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; NOISE REDUCTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN MODIFICATION; PROTEIN PROCESSING; PROTEOMICS; QUANTITATIVE ANALYSIS; REVIEW; STATISTICAL SIGNIFICANCE; TANDEM MASS SPECTROMETRY;

DATA INTERPRETATION, STATISTICAL; DATA MINING; MASS SPECTROMETRY; PEPTIDE FRAGMENTS; PEPTIDE MAPPING; PROTEOME; PROTEOMICS; SIGNAL-TO-NOISE RATIO; SOFTWARE;

EID: 84867045160     PISSN: 09394451     EISSN: 14382199     Source Type: Journal    
DOI: 10.1007/s00726-012-1289-8     Document Type: Review

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