code: def get_summary_metrics(self, align_metrics, dup_metrics,
              insert_metrics=None, hybrid_metrics=None, vrn_vals=None,
              rnaseq_metrics=None):
          
          with open(align_metrics) as in_handle:
              align_vals = self._parse_align_metrics(in_handle)
          if dup_metrics:
              with open(dup_metrics) as in_handle:
                  dup_vals = self._parse_dup_metrics(in_handle)
          else:
              dup_vals = {}
          (insert_vals, hybrid_vals, rnaseq_vals) = (None, None, None)
          if insert_metrics and file_exists(insert_metrics):
              with open(insert_metrics) as in_handle:
                  insert_vals = self._parse_insert_metrics(in_handle)
          if hybrid_metrics and file_exists(hybrid_metrics):
              with open(hybrid_metrics) as in_handle:
                  hybrid_vals = self._parse_hybrid_metrics(in_handle)
          if rnaseq_metrics and file_exists(rnaseq_metrics):
              with open(rnaseq_metrics) as in_handle:
                  rnaseq_vals = self._parse_rnaseq_metrics(in_handle)
  
          return self._tabularize_metrics(align_vals, dup_vals, insert_vals,
                  hybrid_vals, vrn_vals, rnaseq_vals)
docs: Retrieve a high level summary of interesting metrics.