msms: A data set containing tandem mass spectra of an LCMS...
In protViz/protViz: Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
msms R Documentation
A data set containing tandem mass spectra of an LCMS experiment.
Description
The purpose of msms is for the demonstration of the peptide
identification methods, e.g., peakplot or psm.
msms contains two tandem mass spectra meassured on a linear ion
trap coupled to an Orbitrap mass analyzer
(Thermo Scientific, Bremen, Germany).
The protein sample originates from 10
mouse brain homogenate, prepared in sterile PBS containing protease
inhibitors (Complete; Riche, Switzerland) by repeated extrusion through
syringe needles of successive smaller size. To remove gross cellular
debris the homogenate was centrifuged for 10 min at 2400 rpm
at 4 degrees centigrade.
The data were acquired withing the Sixth Framework Programm (FP6-37457).
The project was called SysProt.
Author(s)
Dorothea Rutishauser, Jonas Grossmann, Christian Panse 2008
Examples
data(msms)
peakplot("TAFDEAIAELDTLNEESYK", msms[[1]])
protViz/protViz documentation built on Jan. 19, 2024, 8:10 a.m.
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| msms | R Documentation |
A data set containing tandem mass spectra of an LCMS experiment.
Description
The purpose of msms is for the demonstration of the peptide
identification methods, e.g., peakplot or psm.
msms contains two tandem mass spectra meassured on a linear ion
trap coupled to an Orbitrap mass analyzer
(Thermo Scientific, Bremen, Germany).
The protein sample originates from 10 mouse brain homogenate, prepared in sterile PBS containing protease inhibitors (Complete; Riche, Switzerland) by repeated extrusion through syringe needles of successive smaller size. To remove gross cellular debris the homogenate was centrifuged for 10 min at 2400 rpm at 4 degrees centigrade.
The data were acquired withing the Sixth Framework Programm (FP6-37457). The project was called SysProt.
Author(s)
Dorothea Rutishauser, Jonas Grossmann, Christian Panse 2008
Examples
data(msms)
peakplot("TAFDEAIAELDTLNEESYK", msms[[1]])
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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