euclidean.smk 524 Bytes
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rule distance:
    input:
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        readProfile = 'data/auxiliary/{dataset}/kmers/{kmer}/{id}/alignment.profile.json',
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        spaProfiles = 'data/auxiliary/kmers/{kmer}/spaSequences.kmerprofiles.json'
    output:
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        'data/auxiliary/{dataset}/{iterset}/kmers/{kmer}/{id}/scores.euclidean.tsv'
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    conda:
        '../envs/biopythonworkbench.yaml'
    params:
        # cluster execution
        cpus = '1',
        mem = '4G',
        gpus = '0',
        walltime = '00:10:00'
    script:
        '../scripts/kmerdiff.py'