INNER CODE UNIT · Python

binning_short

BigDataBiology/SemiBin · SemiBin/main.py:1213

def binning_short(logger, data, minfasta,
            binned_length, contig_dict, model_path,
            output, device, environment, *, args):
    """
    Clustering the contigs to get the final bins.

    contig_dict: {contig_id:seq,...}
    recluster: if reclustering
    model_path: path to the trained model
    """
    from .cluster import cluster
    logger.info('Start binning.')

    is_combined, n_sample, data, model = binning_preprocess(data, getattr(args, 'depth_metabat2', None), model_path, environment, device)
    cluster(
        logger,
        model=model,
        data=data,

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