Phosphonormalizer: an R package for normalization of MS-based label-free phosphoproteomics
Author(s) -
Sohrab Saraei,
Tomi Suomi,
Otto Kauko,
Laura L. Elo
Publication year - 2017
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/btx573
Subject(s) - bioconductor , normalization (sociology) , phosphoproteomics , r package , computer science , mass spectrometry , proteomics , computational biology , chromatography , chemistry , biology , genetics , programming language , protein kinase a , phosphorylation , sociology , protein phosphorylation , gene , anthropology
Global centering-based normalization is a commonly used normalization approach in mass spectrometry-based label-free proteomics. It scales the peptide abundances to have the same median intensities, based on an assumption that the majority of abundances remain the same across the samples. However, especially in phosphoproteomics, this assumption can introduce bias, as the samples are enriched during sample preparation which can mask the underlying biological changes. To address this possible bias, phosphopeptides quantified in both enriched and non-enriched samples can be used to calculate factors that mitigate the bias.
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