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pyXLMS-app

Permalink to the web application for pyXLMS.

Availability

Both the main and backup server are provided as is and availability is not guaranteed! Computing resources are allocated on a first come, first served basis. Please note that no data is saved and any analysis only persists as long as your session is active in your browser!

Running Locally or Self-Hosting

Additionally, the web application can also be run locally or self-hosted. This is the preferred way if you are analyzing large amounts of data or sensitive data. You can run the web app locally or self-hosted via:

  • Cloning the pyXLMS GitHub repository:
    • git clone https://github.com/hgb-bin-proteomics/pyXLMS.git
    • cd pyXLMS
  • Running the streamlit app locally:
    • cd gui
    • pip install -r requirements.txt
    • streamlit run streamlit_app.py
  • or running via Docker by building the image yourself:
    • docker build . -f Dockerfile -t pyxlms
    • docker run -p 8501:8501 pyxlms
  • or by pulling the provided image from Docker Hub:
    • docker run -p 8501:8501 michabirklbauer/pyxlms:latest

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