Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/targene/tarviz
Visualization dashboard for TarGene results
https://github.com/targene/tarviz
Last synced: 9 days ago
JSON representation
Visualization dashboard for TarGene results
- Host: GitHub
- URL: https://github.com/targene/tarviz
- Owner: TARGENE
- License: mit
- Created: 2023-03-01T13:53:04.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-29T12:44:55.000Z (4 months ago)
- Last Synced: 2024-08-29T14:12:47.967Z (4 months ago)
- Language: Python
- Size: 419 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# TarViz
Visualization dashboard for TarGene results
## Requirements
Conda environment with poetry
## Development from Eddie
In order to forward and display the the app in the browser (workaround taken from the [jupyther notebook config](https://docs.anaconda.com/anaconda/user-guide/tasks/remote-jupyter-notebook/)):
1. Create a SSH tunnel from your local machine:
```bash
ssh -fNL 8501:localhost:8501
```
or
```
ssh -fN @ -J @eddie.ecdf.ed.ac.uk -L 8501:localhost:8501
```
where is the node where the app will be running and is described in the ssh config file.
2. Run the app:
```bash
poetry run streamlit run 0_🌶_Home.py --server.port=8501 NEXTFLOW_RUNDIR
```
where `NEXTFLOW_RUNDIR` is the TarGene pipeline's run directory.