docs: def map_single_end(credentials, instance_config, instance_name,
                     script_dir, index_dir, fastq_file, output_dir,
                     num_threads=None, seed_start_lmax=None,
                     mismatch_nmax=None, multimap_nmax=None,
                     splice_min_overhang=None,
                     out_mult_nmax=None, sort_bam=True, keep_unmapped=False,
                     self_destruct=True, compressed=True,
                     **kwargs):
      """Maps single-end reads using STAR.
  
      Reads are expected in FASTQ format. By default, they are also expected to
      be compressed with gzip.
  
      - recommended machine type: "n1-standard-16" (60 GB of RAM, 16 vCPUs).
      - recommended disk size: depends on size of FASTQ files, at least 128 GB.
  
      TODO: docstring"""
  
      if sort_bam:
          out_sam_type = 'BAM SortedByCoordinate'
      else:
          out_sam_type = 'BAM Unsorted'
  
      # template expects a list of FASTQ files
      fastq_files = fastq_file
      if isinstance(fastq_files, (str, _oldstr)):
          fastq_files = [fastq_file]
  
      template = _TEMPLATE_ENV.get_template(
          os.path.join('map_single-end.sh'))
      startup_script = template.render(
          script_dir=script_dir,
          index_dir=index_dir,
          fastq_files=fastq_files,
          output_dir=output_dir,
          num_threads=num_threads,
          seed_start_lmax=seed_start_lmax,
          self_destruct=self_destruct,
          mismatch_nmax=mismatch_nmax,
          multimap_nmax=multimap_nmax,
          splice_min_overhang=splice_min_overhang,
          out_mult_nmax=out_mult_nmax,
          keep_unmapped=keep_unmapped,
          compressed=compressed,
          out_sam_type=out_sam_type)
  
      if len(startup_script) > 32768:
          raise ValueError('Startup script larger than 32,768 bytes!')
  
      #print(startup_script)
  
      op_name = instance_config.create_instance(
          credentials, instance_name, startup_script=startup_script, **kwargs)
  
      return op_name