A phenotypic feature of a donor the sample is coming from. For example, the donor’s height measured at the time of sample collection.
| Name | Type | Description | Notes |
|---|---|---|---|
| release_timestamp | str | The date the object was released. | [optional] |
| status | str | The status of the metadata object. | [optional] |
| lab | str | Lab associated with the submission. | [optional] |
| award | str | Grant associated with the submission. | [optional] |
| schema_version | str | The version of the JSON schema that the server uses to validate the object. | [optional] |
| uuid | str | The unique identifier associated with every object. | [optional] |
| notes | str | DACC internal notes. | [optional] |
| aliases | List[str] | Lab specific identifiers to reference an object. | [optional] |
| creation_timestamp | str | The date the object was created. | [optional] |
| submitted_by | str | The user who submitted the object. | [optional] |
| submitter_comment | str | Additional information specified by the submitter to be displayed as a comment on the portal. | [optional] |
| description | str | A plain text description of the object. | [optional] |
| feature | str | The phenotypic feature observed for the donor. | [optional] |
| quantity | float | A quantity associated with the phenotypic feature, if applicable. | [optional] |
| quantity_units | str | The unit of measurement for a quantity associated with the phenotypic feature. | [optional] |
| observation_date | str | The date the feature was observed or measured. | [optional] |
| id | str | [optional] | |
| type | List[str] | [optional] | |
| summary | str | A summary of the object. | [optional] |
from igvf_client.models.phenotypic_feature import PhenotypicFeature
# TODO update the JSON string below
json = "{}"
# create an instance of PhenotypicFeature from a JSON string
phenotypic_feature_instance = PhenotypicFeature.from_json(json)
# print the JSON string representation of the object
print(PhenotypicFeature.to_json())
# convert the object into a dict
phenotypic_feature_dict = phenotypic_feature_instance.to_dict()
# create an instance of PhenotypicFeature from a dict
phenotypic_feature_from_dict = PhenotypicFeature.from_dict(phenotypic_feature_dict)