Python Package for the downstream analysis of mass-spectrometry-based proteomics data
-
Updated
Dec 23, 2024 - Jupyter Notebook
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. 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
Pipeline and Shiny app for the dowstream analysis of quantitative proteomic data
Pipeline and shiny app for the downstreaming analysis of quantitative proteomic data
DIA LC-MS data analysis tool for AMR detection
Add a description, image, and links to the dia-nn topic page so that developers can more easily learn about it.
To associate your repository with the dia-nn topic, visit your repo's landing page and select "manage topics."