code: def to_vcf(in_tsv, data):
      
      call_convert = {"Amp": "DUP", "Del": "DEL"}
      out_file = "%s.vcf" % utils.splitext_plus(in_tsv)[0]
      if not utils.file_uptodate(out_file, in_tsv):
          with file_transaction(data, out_file) as tx_out_file:
              with open(in_tsv) as in_handle:
                  with open(tx_out_file, "w") as out_handle:
                      out_handle.write(VCF_HEADER + "#CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILTER\tINFO\tFORMAT\t%s\n"
                                       % (dd.get_sample_name(data)))
                      header = in_handle.readline().split("\t")
                      for cur in (dict(zip(header, l.split("\t"))) for l in in_handle):
                          if cur["Amp_Del"] in call_convert:
                              svtype = call_convert[cur["Amp_Del"]]
                              info = "SVTYPE=%s;END=%s;SVLEN=%s;FOLD_CHANGE_LOG=%s;PROBES=%s;GENE=%s" % (
                                  svtype, cur["End"], int(cur["End"]) - int(cur["Start"]),
                                  cur["Log2ratio"], cur["Ab_Seg"], cur["Gene"])
                              out_handle.write("\t".join([cur["Chr"], cur["Start"], ".", "N", "<%s>" % (svtype),
                                                          ".", ".", info, "GT", "1/1"]) + "\n")
      return vcfutils.sort_by_ref(out_file, data)
docs: Convert seq2c output file into BED output.