GitHub topics: tmt-data-analysis
dev-ev/isobaric-prot-wf-r
Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
Language: R - Size: 959 KB - Last synced at: 28 days ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 2
Vitek-Lab/MSstatsTMT
R-based package for detecting differentially abundant proteins in shotgun mass spectrometry-based proteomic experiments with tandem mass tag (TMT) labeling
Language: R - Size: 61.2 MB - Last synced at: about 7 hours ago - Pushed at: about 2 months ago - Stars: 29 - Forks: 15
dev-ev/prot-rna-umap-clustering
Joint UMAP embedding and clustering of proteomic and transcriptomic data
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pwilmart/SPS-MS3_vs_MS2_TMT
Comparison of SPS MS3 TMT data to MS2 TMT data
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pwilmart/Multiple_TMT_MQ
Developing mouse lens done with MQ
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dev-ev/isobaric-correlations
Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set
Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
pwilmart/MaxQuant_and_PAW
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
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pwilmart/JPR-201712_MS2-MS3
Public TMT data comparing MS2 to MS3 methods
Language: Jupyter Notebook - Size: 52 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
pwilmart/Plubell_2017_PAW
Data from Plubell et al., 2017 processed with the PAW pipeline.
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pwilmart/Yeast_triple_KO_TMT
R analysis of TMT data from Yeast triple knockout strains (Paulo et al., 2016, JASMS, v27, p1620-25)
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0