Software for better science.
The Biostar Engine is a Python and Django is a collection of web applications that support science education.
Each web application may be deployed individually or in combination with all the others.
Specifically, the engine contains applications that support:
- Sharing and demonstrating data analysis scripts, see Bioinformatics Recipes (completed and operatinal)
- Community and social interactions via a Q&A (Question and Answer forum), see: Biostars: Bioinformatics Explained (in beta testing)
- Publishing documentation, see Biostar Handbook (in alpha stage)
The Biostar Engine requires Python 3.6 or above.
Our installation instructions rely on conda though other alternatives are equally viable. Users may use virtualenv, pipenv, homebrew, apt-get etc, or they may opt to not use environment management tools at all.
# Create a virtual environment.
conda create -y --name engine python=3.6
# Activate the python environment.
source activate engine
# Clone the source server code and the recipe code.
git clone https://github.com/biostars/biostar-engine.git
# Switch to the biostar-engine directory.
cd biostar-engine
# Install server dependencies.
pip install -r conf/pip_requirements.txt
The installation is now complete. All server management commands run through make. To initialize and run the test site use:
make reset serve
Visit localhost:8000 to view the site. List all the additional commands that may be executed with
python manage.py
To run bioinformatics oriented recipes further configuration of your environment may be necessary:
conda config --add channels r
conda config --add channels conda-forge
conda config --add channels bioconda
# Install the conda requirements.
conda install --file conf/conda_requirements.txt
More information on Deploying the Biostar Engine