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# 2021-whatsthatcell-analysis-Michael | ||
# Active learning benchmarking | ||
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To reproduce the analysis in this repository and the associated paper follow these steps: | ||
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1. Install `pipenv` using `pip install pipenv` | ||
2. Clone this repository `git clone [email protected]:camlab-bioml/active-learning-benchmarking.git` | ||
3. Move into the folder that was created as part of the previous step: `cd active-learning-benchmarking` | ||
4. Install the environment required for this analysis to work using `pipenv install` | ||
5. Create a snakemake profile by following these instructions: https://github.com/Snakemake-Profiles/slurm | ||
6. Inside the root directory of this repository run the following commands | ||
``` | ||
module load singularity | ||
snakemake --profile [your_snakemake_profile] -j [n_jobs] --rerun-incomplete | ||
``` | ||
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where | ||
- [your_snakemake_profile] is the name of the snakemake profile you generated in step 5 | ||
- [n_jobs] is the total number of jobs you would like to be submitted at a time |