A simple GUI to use the main features of the QFeatures package.
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Updated
Sep 14, 2026 - R
A simple GUI to use the main features of the QFeatures package.
Introduction to QFeatures, Bioconductor data object for proteomics
Label-free DDA proteomics differential abundance analysis, benchmarked against a spike-in study with known ground truth and applied to an arginine transporter knockout in Francisella tularensis.
End to end command line proteomics, Thermo RAW files through Sage search and label-free quantification to differential abundance, with entrapment-based validation of the reported false discovery rate.
TMT proteomics differential abundance with msqrob2 mixed models, benchmarked on spike-in mixtures with known ground truth to measure ratio compression and the cost of ignoring the plex, and applied to a high fat diet study in mouse adipose tissue.
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