def run_somaticsniper_full(job, tumor_bam, normal_bam, univ_options, somaticsniper_options):
    """
    Run SomaticSniper on the DNA bams.

    :param dict tumor_bam: Dict of bam and bai for tumor DNA-Seq
    :param dict normal_bam: Dict of bam and bai for normal DNA-Seq
    :param dict univ_options: Dict of universal options used by almost all tools
    :param dict somaticsniper_options: Options specific to SomaticSniper
    :return: fsID to the genome-level vcf
    :rtype: toil.fileStore.FileID
    """
    work_dir = os.getcwd()
    input_files = {
        'tumor.bam': tumor_bam['tumor_dna_fix_pg_sorted.bam'],
        'tumor.bam.bai': tumor_bam['tumor_dna_fix_pg_sorted.bam.bai'],
        'normal.bam': normal_bam['normal_dna_fix_pg_sorted.bam'],
        'normal.bam.bai': normal_bam['normal_dna_fix_pg_sorted.bam.bai'],
        'genome.fa.tar.gz': somaticsniper_options['genome_fasta'],
        'genome.fa.fai.tar.gz': somaticsniper_options['genome_fai']}
    input_files = get_files_from_filestore(job, input_files, work_dir, docker=False)

    for key in ('genome.fa', 'genome.fa.fai'):
        input_files[key] = untargz(input_files[key + '.tar.gz'], work_dir)
    input_files = {key: docker_path(path) for key, path in input_files.items()}

    output_file = os.path.join(work_dir, 'somatic-sniper_full.vcf')
    parameters = ['-f', input_files['genome.fa'],
                  '-F', 'vcf',
                  '-G',
                  '-L',
                  '-q', '1',
                  '-Q', '15',
                  input_files['tumor.bam'],
                  input_files['normal.bam'],
                  docker_path(output_file)]
    docker_call(tool='somaticsniper', tool_parameters=parameters, work_dir=work_dir,
                dockerhub=univ_options['dockerhub'], tool_version=somaticsniper_options['version'])
    outfile = job.fileStore.writeGlobalFile(output_file)
    job.fileStore.logToMaster('Ran SomaticSniper on %s successfully' % univ_options['patient'])
    return outfile