DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra
Author(s) -
Anoop Mayampurath,
Navdeep Jaitly,
Samuel Purvine,
Matthew Monroe,
Kenneth J. Auberry,
Joshua Adkins,
Richard Smith
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/btn063
Subject(s) - monoisotopic mass , computer science , software , tandem mass spectrometry , mass spectrum , mass spectrometry , artificial intelligence , data mining , chemistry , chromatography , operating system
DeconMSn accurately determines the monoisotopic mass and charge state of parent ions from high-resolution tandem mass spectrometry data, offering significant improvement for LTQ_FT and LTQ_Orbitrap instruments over the commercially delivered Thermo Fisher Scientific's extract_msn tool. Optimal parent ion mass tolerance values can be determined using accurate mass information, thus improving peptide identifications for high-mass measurement accuracy experiments. For low-resolution data from LCQ and LTQ instruments, DeconMSn incorporates a support-vector-machine-based charge detection algorithm that identifies the most likely charge of a parent species through peak characteristics of its fragmentation pattern.
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