Python Package for the downstream analysis of mass-spectrometry-based proteomics data
-
Updated
Nov 4, 2024 - Jupyter Notebook
#
dia-nn
Here are 6 public repositories matching this topic...
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.
fasta
proteomics
dia
dda
metabolomics
mass-spectrometry
contamination
mitochondrion
neurodegeneration
dia-nn
lysosome
keratin
spectronaut
trypsin
streptavidin
bioanalytical-chemistry
protein-contaminant
-
Updated
Jun 6, 2024
Nextflow workflow for performing DIA proteomics
workflow
bioinformatics
nextflow
proteomics
dia
encyclopedia
qc
skyline
nextflow-pipeline
dia-nn
proteowizard
-
Updated
Nov 1, 2024 - Nextflow
Pipeline and shiny app for the downstreaming analysis of quantitative proteomic data
-
Updated
Jun 11, 2024 - R
Pipeline and Shiny app for the dowstream analysis of quantitative proteomic data
-
Updated
Nov 6, 2024 - R
DIA LC-MS data analysis tool for AMR detection
-
Updated
Feb 15, 2023 - R
Improve this page
Add a description, image, and links to the dia-nn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the dia-nn topic, visit your repo's landing page and select "manage topics."