A document with additional information regarding another object submitted to the data portal. For example, a plasmid map document associated with a transduced cell line sample.
| 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] |
| attachment | Attachment | [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] |
| document_type | str | The category that best describes the document. | [optional] |
| characterization_method | str | The method used for the characterization. | [optional] |
| urls | List[str] | External resources with additional information to the document. | [optional] |
| id | str | [optional] | |
| type | List[str] | [optional] | |
| summary | str | A summary of the object. | [optional] |
from igvf_client.models.document import Document
# TODO update the JSON string below
json = "{}"
# create an instance of Document from a JSON string
document_instance = Document.from_json(json)
# print the JSON string representation of the object
print(Document.to_json())
# convert the object into a dict
document_dict = document_instance.to_dict()
# create an instance of Document from a dict
document_from_dict = Document.from_dict(document_dict)