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Python Package for the downstream analysis of mass-spectrometry-based proteomics data
This project is created by the Hao Lab at the Chemistry Department in George Washington University, Washington, D.C..(Publication pending) This project aims to provide contaminant protein FASTA and spectral libraries that can be universally applied to DDA and DIA proteomics and freely accessible for the proteomics community.
Pipeline and shiny app for the downstreaming analysis of quantitative proteomic data
DIA LC-MS data analysis tool for AMR detection