code: def get_similar_transcripts(self, tx_ac):
          
  
          rows = self._fetchall(self._queries['tx_similar'], [tx_ac])
          return rows
docs: Return a list of transcripts that are similar to the given
          transcript, with relevant similarity criteria.
  
          >> sim_tx = hdp.get_similar_transcripts('NM_001285829.1')
          >> dict(sim_tx[0])
          { 'cds_eq': False,
          'cds_es_fp_eq': False,
          'es_fp_eq': True,
          'tx_ac1': 'NM_001285829.1',
          'tx_ac2': 'ENST00000498907' }
  
          where:
  
          * cds_eq means that the CDS sequences are identical
          * es_fp_eq means that the full exon structures are identical
            (i.e., incl. UTR)
          * cds_es_fp_eq means that the cds-clipped portions of the exon
            structures are identical (i.e., ecluding. UTR)
          * Hint: "es" = "exon set", "fp" = "fingerprint", "eq" = "equal"
  
          "exon structure" refers to the start and end coordinates on a
          specified reference sequence. Thus, having the same exon
          structure means that the transcripts are defined on the same
          reference sequence and have the same exon spans on that
          sequence.