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MS2PIP: a tool for MS/MS peak intensity prediction
Author(s) -
Sven Degroeve,
Lennart Martens
Publication year - 2013
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/btt544
Subject(s) - computer science , fragmentation (computing) , tandem mass spectrometry , mass spectrometry , dissociation (chemistry) , collision , random forest , fragment (logic) , artificial intelligence , data mining , pattern recognition (psychology) , chemistry , algorithm , chromatography , computer security , operating system
Tandem mass spectrometry provides the means to match mass spectrometry signal observations with the chemical entities that generated them. The technology produces signal spectra that contain information about the chemical dissociation pattern of a peptide that was forced to fragment using methods like collision-induced dissociation. The ability to predict these MS(2) signals and to understand this fragmentation process is important for sensitive high-throughput proteomics research.

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