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
May 20, 2024 - 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
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
Data from Plubell et al., 2017 processed with the PAW pipeline.
Public TMT data comparing MS2 to MS3 methods
R analysis of TMT data from Yeast triple knockout strains (Paulo et al., 2016, JASMS, v27, p1620-25)
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