mgnipy.emgapi_v2_client.models.m_gnify_analysis_with_annotations module

mgnipy.emgapi_v2_client.models.m_gnify_analysis_with_annotations module#

class mgnipy.emgapi_v2_client.models.m_gnify_analysis_with_annotations.MGnifyAnalysisWithAnnotations(experiment_type, study_accession, accession, run, sample, assembly, pipeline_version, read_run, quality_control_summary, annotations, downloads=<mgnipy.emgapi_v2_client.types.Unset object>, results_dir=<mgnipy.emgapi_v2_client.types.Unset object>, metadata=<mgnipy.emgapi_v2_client.types.Unset object>)[source]#

Bases: object

Parameters:
experiment_type#

Experiment type refers to the type of sequencing data that was analysed, e.g. amplicon reads or a metagenome assembly

Type:

str

study_accession#
Type:

str

accession#
Type:

str

run#
Type:

AnalysedRun | None

sample#
Type:

MGnifySample | None

assembly#
Type:

Assembly | None

pipeline_version#
Type:

None | PipelineVersions

read_run#

Metadata associated with the original read run(s) this analysis is based on, whether or not those reads were assembled.

Type:

list [AnalysedRun] | None

quality_control_summary#
Type:

MGnifyAnalysisWithAnnotationsQualityControlSummaryType0 | None

annotations#
Type:

MGnifyAnalysisWithAnnotationsAnnotations

downloads#
Type:

list [MGnifyAnalysisDownloadFile] | Unset

results_dir#

Directory path where analysis results are stored

Type:

None | str | Unset

metadata#

Additional metadata associated with the analysis

Type:

MGnifyAnalysisWithAnnotationsMetadataType0 | None | Unset

accession: str #
property additional_keys: list [str ]#
additional_properties: dict [str , Any]#
annotations: MGnifyAnalysisWithAnnotationsAnnotations#
assembly: Assembly | None #
downloads: list [MGnifyAnalysisDownloadFile] | Unset#
experiment_type: str #
classmethod from_dict(src_dict)[source]#
Parameters:

src_dict (Mapping [str , Any ])

Return type:

T

metadata: MGnifyAnalysisWithAnnotationsMetadataType0 | None | Unset#
pipeline_version: None | PipelineVersions#
quality_control_summary: MGnifyAnalysisWithAnnotationsQualityControlSummaryType0 | None #
read_run: list [AnalysedRun] | None #
results_dir: None | str | Unset#
run: AnalysedRun | None #
sample: MGnifySample | None #
study_accession: str #
to_dict()[source]#
Return type:

dict [str , Any ]

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