code: def summary(self):
          
          return {
              'bestScore': self.bestHsp().score.score,
              'coverage': self.coverage(),
              'hspCount': self.hspCount(),
              'medianScore': self.medianScore(),
              'readCount': self.readCount(),
              'subjectLength': self.subjectLength,
              'subjectTitle': self.subjectTitle,
          }
docs: Summarize the alignments for this subject.
  
          @return: A C{dict} with C{str} keys:
              bestScore: The C{float} best score of the matching reads.
              coverage: The C{float} fraction of the subject genome that is
                  matched by at least one read.
              hspCount: The C{int} number of hsps that match the subject.
              medianScore: The C{float} median score of the matching reads.
              readCount: The C{int} number of reads that match the subject.
              subjectLength: The C{int} length of the subject.
              subjectTitle: The C{str} title of the subject.