mgnipy.emgapi_v2_client.models.analysed_run module

mgnipy.emgapi_v2_client.models.analysed_run module#

class mgnipy.emgapi_v2_client.models.analysed_run.AnalysedRun(experiment_type, instrument_model, instrument_platform, accession=<mgnipy.emgapi_v2_client.types.Unset object>, sample_accession=<mgnipy.emgapi_v2_client.types.Unset object>, study_accession=<mgnipy.emgapi_v2_client.types.Unset object>)[source]#

Bases: object

Parameters:

  • experiment_type (str )

  • instrument_model (None | str )

  • instrument_platform (None | str )

  • accession (None | str | Unset)

  • sample_accession (None | str | Unset)

  • study_accession (None | str | Unset)

experiment_type#

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

Type:

str

instrument_model#
Type:

None | str

instrument_platform#
Type:

None | str

accession#
Type:

None | str | Unset

sample_accession#

ENA accession of the sample associated with this run

Type:

None | str | Unset

study_accession#

ENA accession of the study associated with this run

Type:

None | str | Unset

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

src_dict (Mapping [str , Any ])

Return type:

T

instrument_model: None | str #
instrument_platform: None | str #
sample_accession: None | str | Unset#
study_accession: None | str | Unset#
to_dict()[source]#
Return type:

dict [str , Any ]

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