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Census 2: isobaric labeling data analysis
Author(s) -
Sung Kyu Robin Park,
Aaron Aslanian,
Daniel B. McClatchy,
Xuemei Han,
Harshil Shah,
Meha Singh,
Navin Rauniyar,
James J. Moresco,
Antônio F. M. Pinto,
Jolene K. Diedrich,
Claire Delahunty,
John R. Yates
Publication year - 2014
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/btu151
Subject(s) - computer science , normalization (sociology) , isobaric process , tandem mass spectrometry , isobaric labeling , collision , mass spectrometry , tandem mass tag , data mining , chemistry , quantitative proteomics , physics , chromatography , proteomics , protein mass spectrometry , biochemistry , computer security , sociology , anthropology , gene , thermodynamics
We introduce Census 2, an update of a mass spectrometry data analysis tool for peptide/protein quantification. New features for analysis of isobaric labeling, such as Tandem Mass Tag (TMT) or Isobaric Tags for Relative and Absolute Quantification (iTRAQ), have been added in this version, including a reporter ion impurity correction, a reporter ion intensity threshold filter and an option for weighted normalization to correct mixing errors. TMT/iTRAQ analysis can be performed on experiments using HCD (High Energy Collision Dissociation) only, CID (Collision Induced Dissociation)/HCD (High Energy Collision Dissociation) dual scans or HCD triple-stage mass spectrometry data. To improve measurement accuracy, we implemented weighted normalization, multiple tandem spectral approach, impurity correction and dynamic intensity threshold features.

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