TechnicalSample.md

TechnicalSample

A sample that is used as a medium to perform biological measurement without the intent to characterize the technical sample itself. For example, the solution in which RNA oligos binding experiments are performed.

Properties

Name	Type	Description	Notes
is_on_anvil	bool	Indicates whether the data object has been submitted to AnVIL.	[optional]
preview_timestamp	str	The date the object was previewed.	[optional]
release_timestamp	str	The date the object was released.	[optional]
publications	List[str]	The publications associated with this object.	[optional]
url	str	An external resource with additional information.	[optional]
sources	List[str]	The originating lab(s) or vendor(s).	[optional]
lot_id	str	The lot identifier provided by the originating lab or vendor.	[optional]
product_id	str	The product identifier provided by the originating lab or vendor.	[optional]
documents	List[str]	Documents that provide additional information (not data file).	[optional]
lab	str	Lab associated with the submission.	[optional]
award	str	Grant associated with the submission.	[optional]
accession	str	A unique identifier to be used to reference the object prefixed with IGVF.	[optional]
alternate_accessions	List[str]	Accessions previously assigned to objects that have been merged with this object.	[optional]
collections	List[str]	Some samples are part of particular data collections.	[optional]
status	str	The status of the metadata object.	[optional]
revoke_detail	str	Explanation of why an object was transitioned to the revoked status.	[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]
starting_amount	float	The initial quantity of samples obtained.	[optional]
starting_amount_units	str	The units used to quantify the amount of samples obtained.	[optional]
dbxrefs	List[str]	Biosample identifiers from external resources, such as Biosample database or Cellosaurus.	[optional]
date_obtained	str	The date the sample was harvested, dissected or created, depending on the type of the sample.	[optional]
part_of	str	Links to a sample which represents a larger sample from which this sample was taken regardless of whether it is a tissue taken from an organism or smaller slices of a piece of tissue or aliquots of a cell growth.	[optional]
sorted_from	str	Links to a larger sample from which this sample was obtained through sorting.	[optional]
sorted_from_detail	str	Detail for sample sorted into fractions capturing information about sorting.	[optional]
virtual	bool	Virtual samples do not represent actual physical entities from experiments, but instead capture metadata about hypothetical or inferred samples relevant to reported analysis results, including those derived through demultiplexing.	[optional]
construct_library_sets	List[str]	The construct library sets of vectors introduced to this sample prior to performing an assay.	[optional]
moi	float	The actual multiplicity of infection (MOI) for vectors introduced to this sample. At least one construct library set must be specified in order to specify MOI. This property should capture the actual MOI, and not the targeted MOI.	[optional]
nucleic_acid_delivery	str	Method of introduction of nucleic acid into the cell.	[optional]
time_post_library_delivery	float	The time that elapsed past the time-point when the construct library sets were introduced.	[optional]
time_post_library_delivery_units	str	The units of time that elapsed past the point when the construct library sets were introduced.	[optional]
protocols	List[str]	Links to the protocol(s) for preparing the samples on Protocols.io.	[optional]
supersedes	List[str]	The sample(s) that this sample supersedes by virtue of being newer, better, or a fixed version of etc. than the one(s) it supersedes.	[optional]
selection_conditions	List[str]	The conditions used for selecting the sample.	[optional]
sample_material	str		[optional]
taxa	str		[optional]
sample_terms	List[str]	Ontology terms identifying a technical sample.	[optional]
treatments	List[str]	A list of treatments applied to the technical sample with the purpose of perturbation.	[optional]
originated_from	str	Links to a technical sample that was originated from due to the introduction of a genetic modification.	[optional]
id	str		[optional]
type	List[str]		[optional]
summary	str	A summary of this sample.	[optional]
file_sets	List[str]	The file sets linked to this sample.	[optional]
multiplexed_in	List[str]	The multiplexed samples in which this sample is included.	[optional]
parts	List[str]	The parts into which this sample has been divided.	[optional]
sorted_fractions	List[str]	The fractions into which this sample has been sorted.	[optional]
origin_of	List[str]	The samples which originate from this sample, such as through a process of cell fate change or the introduction of a genetic material.	[optional]
institutional_certificates	List[str]	The institutional certificates under which use of this sample is approved.	[optional]
superseded_by	List[str]	Sample(s) this sample is superseded by virtue of those sample(s) being newer, better, or a fixed version of etc. than this one.	[optional]
classifications	List[str]	The general category of this type of sample.	[optional]

Example

from igvf_client.models.technical_sample import TechnicalSample

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

# convert the object into a dict
technical_sample_dict = technical_sample_instance.to_dict()
# create an instance of TechnicalSample from a dict
technical_sample_from_dict = TechnicalSample.from_dict(technical_sample_dict)

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