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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def run_radia(job, bams, univ_options, radia_options, chrom):
 """ This module will run radia on the RNA and DNA bams ARGUMENTS 1. bams: Dict of bams and their indexes bams |- 'tumor_rna': <JSid> |- 'tumor_rnai': <JSid> |- 'tumor_dna': <JSid> |- 'tumor_dnai': <JSid> |- 'normal_dna': <JSid> +- 'normal_dnai': <JSid> 2. univ_options: Dict of universal arguments used by almost all tools univ_options +- 'dockerhub': <dockerhub to use> 3. radia_options: Dict of parameters specific to radia radia_options |- 'dbsnp_vcf': <JSid for dnsnp vcf file> +- 'genome': <JSid for genome fasta file> 4. chrom: String containing chromosome name with chr appended RETURN VALUES 1. Dict of filtered radia output vcf and logfile (Nested return) |- 'radia_filtered_CHROM.vcf': <JSid> +- 'radia_filtered_CHROM_radia.log': <JSid> """

    job.fileStore.logToMaster('Running radia on %s:%s' %(univ_options['patient'], chrom))
    work_dir = job.fileStore.getLocalTempDir()
    input_files = {
        'rna.bam': bams['tumor_rna'],
        'rna.bam.bai': bams['tumor_rnai'],
        'tumor.bam': bams['tumor_dna'],
        'tumor.bam.bai': bams['tumor_dnai'],
        'normal.bam': bams['normal_dna'],
        'normal.bam.bai': bams['normal_dnai'],
        'genome.fasta': radia_options['genome_fasta'],
        'genome.fasta.fai': radia_options['genome_fai']}
    input_files = get_files_from_filestore(job, input_files, work_dir,
                                           docker=True)
    radia_output = ''.join([work_dir, '/radia_', chrom, '.vcf'])
    radia_log = ''.join([work_dir, '/radia_', chrom, '_radia.log'])
    parameters = [univ_options['patient'],  # shortID
                  chrom,
                  '-n', input_files['normal.bam'],
                  '-t', input_files['tumor.bam'],
                  '-r', input_files['rna.bam'],
                  ''.join(['--rnaTumorFasta=', input_files['genome.fasta']]),
                  '-f', input_files['genome.fasta'],
                  '-o', docker_path(radia_output),
                  '-i', 'hg19_M_rCRS',
                  '-m', input_files['genome.fasta'],
                  '-d', 'aarjunrao@soe.ucsc.edu',
                  '-q', 'Illumina',
                  '--disease', 'CANCER',
                  '-l', 'INFO',
                  '-g', docker_path(radia_log)]
    docker_call(tool='radia', tool_parameters=parameters, work_dir=work_dir,
                dockerhub=univ_options['dockerhub'])
    output_files = defaultdict()
    for radia_file in [radia_output, radia_log]:
        output_files[os.path.basename(radia_file)] = \
            job.fileStore.writeGlobalFile(radia_file)
    filterradia = job.wrapJobFn(run_filter_radia, bams,
                                output_files[os.path.basename(radia_output)],
                                univ_options, radia_options, chrom, disk='60G', memory='6G')
    job.addChild(filterradia)
    return filterradia.rv()