Python Package for the downstream analysis of mass-spectrometry-based proteomics data
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Updated
Nov 21, 2025 - Jupyter Notebook
Python Package for the downstream analysis of mass-spectrometry-based proteomics data
This project is created by the Hao Lab at the Department of Chemistry & Biochemistry, University of Maryland, College Park, MD. 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.
Nextflow workflow for performing DIA proteomics
R package and Shiny app for the dowstream analysis of quantitative proteomic data
DIA LC-MS data analysis tool for AMR detection
A Nextflow pipeline for analyzing DIA immunopeptidomics data using DIA-NN
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