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## Running the benchmark
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The benchmark is run with the following command in the Phoenix compute cluster of the University of California Santa Cruz Genomics Institute:
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The benchmark can be run using conda and pip:
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```bash
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conda create -n snputils python=3.12
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conda activate snputils
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pip install snputils[benchmark]
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bash benchmark/run.sh --data-dir /private/groups/ioannidislab/salcc/snputils_data
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bash benchmark/run.sh --data-dir $DATA_DIR
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```
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The `--data-dir` argument specifies the directory where the data is stored. If the argument is not provided, it is stored in the `data` directory in the root of the repository. If the data is not found in the directory, it is downloaded from the internet.
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## Contributing
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We strive to ensure fair comparisons across all libraries in our benchmark. If you believe the implementation using any of the compared libraries could be made more efficient, we warmly welcome your contributions! Please don't hesitate to open a pull request with your improvements. This helps ensure we're showcasing each library's best performance characteristics and benefits the entire genomics community.
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We strive to ensure fair comparisons across all libraries in our benchmark. If you believe the implementation using any of the compared libraries could be made more efficient, we warmly welcome your contributions! Please don't hesitate to open a pull request with your improvements. This helps ensure we're showcasing each library's best performance characteristics and benefits the entire genomics community.

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