R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
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Updated
Aug 31, 2026 - R
R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
Joint UMAP embedding and clustering of proteomic and transcriptomic data
Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set
Developing mouse lens done with MQ
Comparison of SPS MS3 TMT data to MS2 TMT data
Data from Plubell et al., 2017 processed with the PAW pipeline.
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
R analysis of TMT data from Yeast triple knockout strains (Paulo et al., 2016, JASMS, v27, p1620-25)
Public TMT data comparing MS2 to MS3 methods
🔍 Optimize multi-objective tasks with Tchebycheff scalarization for better alignment and efficient Pareto frontier exploration.
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