def apply_recal(data):
    orig_bam = dd.get_align_bam(data) or dd.get_work_bam(data)
    had_work_bam = "work_bam" in data
    if dd.get_recalibrate(data) in [True, "gatk"]:
        if data.get("prep_recal"):
            logger.info("Applying BQSR recalibration with GATK: %s " % str(dd.get_sample_name(data)))
            data["work_bam"] = _gatk_apply_bqsr(data)
    elif dd.get_recalibrate(data) == "sentieon":
        if data.get("prep_recal"):
            logger.info("Applying BQSR recalibration with sentieon: %s " % str(dd.get_sample_name(data)))
            data["work_bam"] = sentieon.apply_bqsr(data)
    elif dd.get_recalibrate(data):
        raise NotImplementedError("Unsupported recalibration type: %s" % (dd.get_recalibrate(data)))
    if not had_work_bam and dd.get_work_bam(data):
        data["align_bam"] = dd.get_work_bam(data)
    if orig_bam != dd.get_work_bam(data) and orig_bam != dd.get_align_bam(data):
        utils.save_diskspace(orig_bam, "BAM recalibrated to %s" % dd.get_work_bam(data), data["config"])
    return data