MSstatsTMT: MSstatsTMT: A package for protein significance analysis in...
In huang704/MSstatsTMT: Protein Significance Analysis in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
Description
A set of tools for detecting differentially abundant peptides and proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling.
functions
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PDtoMSstatsTMTFormat : generates MSstatsTMT required input format for Proteome discoverer output.
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MaxQtoMSstatsTMTFormat : generates MSstatsTMT required input format for MaxQuant output.
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SpectroMinetoMSstatsTMTFormat : generates MSstatsTMT required input format for SpectroMine output.
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proteinSummarization : summarizes PSM level quantification to protein level quantification.
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dataProcessPlotsTMT : visualizes for explanatory data analysis.
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groupComparisonTMT : tests for significant changes in protein abundance across conditions.
huang704/MSstatsTMT documentation built on Jan. 1, 2021, 3:21 a.m.
R Package Documentation
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Description
A set of tools for detecting differentially abundant peptides and proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling.
functions
-
PDtoMSstatsTMTFormat: generates MSstatsTMT required input format for Proteome discoverer output. -
MaxQtoMSstatsTMTFormat: generates MSstatsTMT required input format for MaxQuant output. -
SpectroMinetoMSstatsTMTFormat: generates MSstatsTMT required input format for SpectroMine output. -
proteinSummarization: summarizes PSM level quantification to protein level quantification. -
dataProcessPlotsTMT: visualizes for explanatory data analysis. -
groupComparisonTMT: tests for significant changes in protein abundance across conditions.
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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