Open AccessMS-specific noise model reveals the potential of iTRAQ in quantitative proteomics
Author(s) -
Claudia Hundertmark,
RalfJörg Fischer,
Tobias Reinl,
Sigrun May,
Frank Klawonn,
Lothar Jänsch
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn551
Subject(s) - proteomics , computer science , quantitative proteomics , computational biology , noise (video) , chemistry , biology , artificial intelligence , biochemistry , image (mathematics) , gene
Mass spectrometry (MS) data are impaired by noise similar to many other analytical methods. Therefore, proteomics requires statistical approaches to determine the reliability of regulatory information if protein quantification is based on ion intensities observed in MS.
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