Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

An open-source Python package for accurate and sensitive peptide and protein quantification.

A comprehensive R package for label-free proteomics data analysis and modeling

Proteomics database searches

pipeline for TMT/LFQ proteomics: QC, volcano plots, and Reactome enrichment

🔍 Optimize multi-objective tasks with Tchebycheff scalarization for better alignment and efficient Pareto frontier exploration.