AlignedFeature.md

AlignedFeature

The AlignedFeature contains the ID of a feature (aligned over runs) together with some read-only information that might be displayed in some summary view.

Properties

Name	Type	Description	Notes
aligned_feature_id	str		[optional]
compound_id	str		[optional]
name	str		[optional]
external_feature_id	str	Externally provided FeatureId (e.g. by some preprocessing tool). This FeatureId is NOT used by SIRIUS but is stored to ease mapping information back to the source.	[optional]
ion_mass	float		[optional]
charge	int	Ion mode (charge) this feature has been measured in.
detected_adducts	List[str]	Adducts of this feature that have been detected during preprocessing.
rt_start_seconds	float		[optional]
rt_end_seconds	float		[optional]
rt_apex_seconds	float		[optional]
quality	DataQuality		[optional]
has_ms1	bool	If true, the feature has at lease one MS1 spectrum	[optional]
has_ms_ms	bool	If true, the feature has at lease one MS/MS spectrum	[optional]
ms_data	MsData		[optional]
top_annotations	FeatureAnnotations		[optional]
top_annotations_de_novo	FeatureAnnotations		[optional]
computing	bool	Write lock for this feature. If the feature is locked no write operations are possible. True if any computation is modifying this feature or its results	[optional]
computed_tools	ComputedSubtools		[optional]
tags	Dict[str, Tag]	Key: tagName, value: tag	[optional]

Example

from PySirius.models.aligned_feature import AlignedFeature

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

# convert the object into a dict
aligned_feature_dict = aligned_feature_instance.to_dict()
# create an instance of AlignedFeature from a dict
aligned_feature_from_dict = AlignedFeature.from_dict(aligned_feature_dict)

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