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OpenReadingFrame

Protein-encoding open reading frames (ORF)

Properties

Name Type Description Notes
release_timestamp str The date the object was released. [optional]
status str The status of the metadata object. [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]
lab str Lab associated with the submission. [optional]
award str Grant associated with the submission. [optional]
orf_id str Open reading frame ID. [optional]
gene List[str] ENSEMBL GeneID of official nomenclature approved gene. The GeneID does not include the current version number suffix. [optional]
protein_id str ENSEMBL ProteinID of official nomenclature approved protein. The ProteinID does not include the current version number suffix. [optional]
dbxrefs List[str] Unique identifiers from the hORFeome database [optional]
pct_identical_protein float The percentage of identical matches to Ensembl protein. [optional]
pct_coverage_protein float The percentage of ORF covered by Ensembl protein. [optional]
pct_coverage_orf float The percentage of Ensembl protein covered by ORF. [optional]
id str [optional]
type List[str] [optional]
summary str A summary of the object. [optional]

Example

from igvf_client.models.open_reading_frame import OpenReadingFrame

# TODO update the JSON string below
json = "{}"
# create an instance of OpenReadingFrame from a JSON string
open_reading_frame_instance = OpenReadingFrame.from_json(json)
# print the JSON string representation of the object
print(OpenReadingFrame.to_json())

# convert the object into a dict
open_reading_frame_dict = open_reading_frame_instance.to_dict()
# create an instance of OpenReadingFrame from a dict
open_reading_frame_from_dict = OpenReadingFrame.from_dict(open_reading_frame_dict)

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