def read_serialized(self,input): a = decode_64(input) self.transcripts = a['transcripts'] if a['expression']: self.expression = IsoformExpression() self.expression.read_serialized(a['expression']) else: self.expression = a['expression'] self.ref_hash = a['ref_hash']
def read_serialized(self, input): a = decode_64(input) self.transcripts = a['transcripts'] if a['expression']: self.expression = IsoformExpression() self.expression.read_serialized(a['expression']) else: self.expression = a['expression'] self.ref_hash = a['ref_hash']
def read_serialized(self,instring): a = decode_64(instring) if a['transcriptome1']: self.transcriptome1 = TranscriptomeBasics.Transcriptome() self.transcriptome1.read_serialized(a['transcriptome1']) else: self.transcriptome1 = a['transcriptome1'] if a['transcriptome2']: self.transcriptome2 = TranscriptomeBasics.Transcriptome() self.transcriptome2.read_serialized(a['transcriptome2']) else: self.transcriptome2 = a['transcriptome2'] self.emissions_report = a['emissions_report'] self.transcriptome1_rho = a['transcriptome1_rho'] self.gaussian_fragmentation = a['gaussian_fragmentation'] self.gene_names = a['gene_names'] self.name2locus = a['name2locus']
def read_serialized(self, instring): self.expression = decode_64(instring) self.update_expression()
def read_serialized(self,instring): self.expression = decode_64(instring) self.update_expression()