Interactive visualization of OICR Genomics QC data
pip install git+https://github.com/oicr-gsi/dashi
Use the environmental variable to specify where the gsi-qc-etl cache folder resides:
export GSI_ETL_CACHE_DIR=/path/to/etl/cache/folder
For development, it is more convenient to run
pip install -e git+https://github.com/oicr-gsi/dashi#egg=dashi --src DICT
where DICT is the destination folder for the code. The installed package is
symbolically linked to that folder and any changes in the code will be
automatically available in the installed package.
All visualizations expect gsi-qc-etl cache files to be located in the data folder at the root of this repository. The easiest approach is to use symbolic links. If necessary, future changes can allow the path to be set by environmental variables or config files.
Individual visualizations can be started by calling the desired python file. Example:
python runscanner/yield_over_time.py
A list of links to all available visualizations is started by
python index.py
Consistent PEP8 compliant formatting can be ensured by enabling pre-commit git hook.
```
# Activate your preferred Dashi Python environment. If using Conda
source activate your_dashi_conda_environment
pip install pre-commit
#While in the root of Dashi
pre-commit install
```