def parameters(cls):
parameters = [
ParameterFactory.format(),
ParameterFactory.sequence_names(required=True),
ParameterFactory.sequences(required=True),
]
return parameters
def parameters(cls):
parameters = [
ParameterFactory.format(),
ParameterFactory.sequence_names(required=True),
ParameterFactory.sequences(required=True),
]
return parameters
def process_request(cls, params_dict):
sequences = params_dict[ParameterFactory.sequences(required=True)]
sequence_names = params_dict[ParameterFactory.sequence_names(required=True)]
# Every sequence must have an accompanying name
if len(sequences) != len(sequence_names):
return (None, None, None)
data = list()
for i, sequence in enumerate(sequences):
melting_temp = cls._IDT_CLIENT.get_melting_temp(sequence)
data.append({"Name": sequence_names[i],
"Sequence": sequence,
"Tm": melting_temp.tm})
columns = ["Name", "Sequence", "Tm"]
return (data, columns, None)
def process_request(cls, params_dict):
sequences = params_dict[ParameterFactory.sequences(required=True)]
sequence_names = params_dict[ParameterFactory.sequence_names(
required=True)]
# Every sequence must have an accompanying name
if len(sequences) != len(sequence_names):
return (None, None, None)
data = list()
for i, sequence in enumerate(sequences):
melting_temp = cls._IDT_CLIENT.get_melting_temp(sequence)
data.append({
"Name": sequence_names[i],
"Sequence": sequence,
"Tm": melting_temp.tm
})
columns = ["Name", "Sequence", "Tm"]
return (data, columns, None)