def lobstr(args):
    """
    %prog lobstr lobstr_index1 lobstr_index2 ...

    Run lobSTR on a big BAM file. There can be multiple lobSTR indices. In
    addition, bamfile can be S3 location and --lobstr_home can be S3 location
    (e.g. s3://hli-mv-data-science/htang/str-build/lobSTR/)
    """
    p = OptionParser(lobstr.__doc__)
    p.add_option("--haploid", default="chrY,chrM",
                 help="Use haploid model for these chromosomes")
    p.add_option("--chr", help="Run only this chromosome")
    p.add_option("--simulation", default=False, action="store_true",
                 help="Simulation mode")
    p.set_home("lobstr", default="s3://hli-mv-data-science/htang/str-build/lobSTR/")
    p.set_cpus()
    p.set_aws_opts(store="hli-mv-data-science/htang/str-data")
    opts, args = p.parse_args(args)
    bamfile = opts.input_bam_path

    if len(args) < 1 or bamfile is None:
        sys.exit(not p.print_help())

    lbindices = args
    if opts.simulation:  # Simulation mode
        cmd, vcf_file = allelotype_on_chr(bamfile, "chr4", "/mnt/software/lobSTR/",
                                          "TREDs", haploid=opts.haploid)
        stats_file = vcf_file.rsplit(".", 1)[0] + ".allelotype.stats"
        results_dir = "lobstr_results"
        mkdir(results_dir)
        sh(cmd)
        sh("mv {} {}/ && rm {}".format(vcf_file, results_dir, stats_file))
        return

    s3mode = bamfile.startswith("s3")
    store = opts.output_path
    cleanup = not opts.nocleanup
    workdir = opts.workdir
    mkdir(workdir)
    os.chdir(workdir)

    lhome = opts.lobstr_home
    if lhome.startswith("s3://"):
        lhome = pull_from_s3(lhome, overwrite=False)

    exec_id, sample_id = opts.workflow_execution_id, opts.sample_id
    prefix = [x for x in (exec_id, sample_id) if x]
    if prefix:
        pf = "_".join(prefix)
    else:
        pf = bamfile.split("/")[-1].split(".")[0]

    if s3mode:
        gzfile = pf + ".{0}.vcf.gz".format(lbindices[-1])
        remotegzfile = "{0}/{1}".format(store, gzfile)
        if check_exists_s3(remotegzfile):
            logging.debug("Object `{0}` exists. Computation skipped."\
                            .format(remotegzfile))
            return
        localbamfile = pf + ".bam"
        localbaifile = localbamfile + ".bai"
        if op.exists(localbamfile):
            logging.debug("BAM file already downloaded.")
        else:
            pull_from_s3(bamfile, localbamfile)
        if op.exists(localbaifile):
            logging.debug("BAM index file already downloaded.")
        else:
            remotebaifile = bamfile + ".bai"
            if check_exists_s3(remotebaifile):
                pull_from_s3(remotebaifile, localbaifile)
            else:
                remotebaifile = bamfile.rsplit(".")[0] + ".bai"
                if check_exists_s3(remotebaifile):
                    pull_from_s3(remotebaifile, localbaifile)
                else:
                    logging.debug("BAM index cannot be found in S3!")
                    sh("samtools index {0}".format(localbamfile))
        bamfile = localbamfile

    chrs = [opts.chr] if opts.chr else (range(1, 23) + ["X", "Y"])
    for lbidx in lbindices:
        makefile = "makefile.{0}".format(lbidx)
        mm = MakeManager(filename=makefile)
        vcffiles = []
        for chr in chrs:
            cmd, vcffile = allelotype_on_chr(bamfile, chr, lhome,
                                             lbidx, haploid=opts.haploid)
            mm.add(bamfile, vcffile, cmd)
            filteredvcffile = vcffile.replace(".vcf", ".filtered.vcf")
            cmd = "python -m jcvi.variation.str filtervcf {}".format(vcffile)
            cmd += " --lobstr_home {}".format(lhome)
            mm.add(vcffile, filteredvcffile, cmd)
            vcffiles.append(filteredvcffile)

        gzfile = bamfile.split(".")[0] + ".{0}.vcf.gz".format(lbidx)
        cmd = "vcf-concat {0} | vcf-sort".format(" ".join(vcffiles))
        cmd += " | bgzip -c > {0}".format(gzfile)
        mm.add(vcffiles, gzfile, cmd)

        mm.run(cpus=opts.cpus)

        if s3mode:
            push_to_s3(store, gzfile)

    if cleanup:
        mm.clean()
        sh("rm -f {} {} *.bai *.stats".format(bamfile, mm.makefile))