StarrSeqQualityMetric.md

StarrSeqQualityMetric

Schema for submission of a STARR-seq uniform pipeline quality metric.

Properties

Name	Type	Description	Notes
preview_timestamp	str	The date the object was previewed.	[optional]
status	str	The status of the metadata object.	[optional]
release_timestamp	str	The date the object was released.	[optional]
attachment	Attachment		[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]
quality_metric_of	List[str]	The file(s) to which this quality metric applies.	[optional]
analysis_step_version	str	The analysis step version of the quality metric.	[optional]
coverage	float	Coverage of the library.	[optional]
coverage_per_basepair	float	Coverage at basepair level.	[optional]
rna_correlation_in_peaks	float	Correlation of RNA only over regions called as peaks in DNA.	[optional]
id	str		[optional]
type	List[str]		[optional]
summary	str	A summary of the quality metric.	[optional]

Example

from igvf_client.models.starr_seq_quality_metric import StarrSeqQualityMetric

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

# convert the object into a dict
starr_seq_quality_metric_dict = starr_seq_quality_metric_instance.to_dict()
# create an instance of StarrSeqQualityMetric from a dict
starr_seq_quality_metric_from_dict = StarrSeqQualityMetric.from_dict(starr_seq_quality_metric_dict)

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