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docker: Use conda to install dependencies; add conda environment
This results in both a shorter Dockerfile and a smaller final image. The conda environment matches the existing conda packaging in devtools/.
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# Usage: | ||
# conda env create -f conda-env.yaml | ||
# or: | ||
# conda env update -v -n [base] -f conda-env.yml [--prune] | ||
# This does not install CNVkit itself. Use pip to install either a stable release from | ||
# PyPI (pip install cnvkit), or this local repo (pip install -e .). | ||
name: cnvkit | ||
channels: | ||
- conda-forge | ||
- bioconda | ||
- defaults | ||
dependencies: | ||
- python>=3.8 | ||
- atlas # [not osx] | ||
- bioconductor-dnacopy | ||
- biopython >=1.80 | ||
- matplotlib >=3.5.2 | ||
- numpy >=1.24.2 | ||
- pandas >=1.5.3 | ||
- pomegranate >=0.14.8, <=0.14.9 | ||
- pyfaidx >=0.7.1 | ||
- pysam >=0.20.0 | ||
- pytest | ||
- reportlab >=3.6.12 | ||
- ruff | ||
- scikit-learn >=1.1.0 | ||
- scipy >=1.10.1 | ||
- tox | ||
|
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