LIMS/lab classes for clinicedc/edc projects
Project description
edc-lab
Add to settings:
INSTALLED_APPS = [
...
'edc_lab.apps.AppConfig',
...
]
Configuration
Create aliquot types:
# aliquot types
wb = AliquotType(name='whole_blood', alpha_code='WB', numeric_code='02')
bc = AliquotType(name='buffy_coat', alpha_code='BC', numeric_code='16')
pl = AliquotType(name='plasma', alpha_code='PL', numeric_code='32')
Add possible derivatives to an aliquot type:
# in this case, plasma and buffy coat are possible derivatives
wb.add_derivatives(pl, bc)
Set up a processing profile:
viral_load = ProcessingProfile(
name='viral_load', aliquot_type=wb)
process_bc = Process(aliquot_type=bc, aliquot_count=4)
process_pl = Process(aliquot_type=pl, aliquot_count=2)
viral_load.add_processes(process_bc, process_pl)
Create a``panel`` that uses the processing profile:
panel = RequisitionPanel(
name='Viral Load',
processing_profile=viral_load)
Add the panel (and others) to a lab profile:
lab_profile = LabProfile(
name='lab_profile',
requisition_model='edc_lab.subjectrequisition')
lab_profile.add_panel(panel)
Register the lab_profile with the site global:
site_labs.register(lab_profile)
Usage
Create a requisition model instance:
requisition = SubjectRequisition.objects.create(
subject_visit=self.subject_visit,
panel_name=self.panel.name,
is_drawn=YES)
Pass the requisition to Specimen
specimen = Specimen(requisition=requisition)
Process:
specimen.process()
Aliquots have been created according to the configured processing profile:
>>> specimen.primary_aliquot.identifier
'99900GV63F00000201'
>>> for aliquot in specimen.aliquots.order_by('count'):
print(aliquot.aliquot_identifier)
'99900GV63F00000201'
'99900GV63F02013202'
'99900GV63F02013203'
'99900GV63F02011604'
'99900GV63F02011605'
'99900GV63F02011606'
'99900GV63F02011607'
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
edc-lab-0.3.57.tar.gz
(82.1 kB
view details)
Built Distribution
edc_lab-0.3.57-py3-none-any.whl
(132.4 kB
view details)
File details
Details for the file edc-lab-0.3.57.tar.gz
.
File metadata
- Download URL: edc-lab-0.3.57.tar.gz
- Upload date:
- Size: 82.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9ab606f701a2b48d8fbb7730a55d0b340b0ec06d923bf4e1663f9c70dba17949 |
|
MD5 | 9485eb34d95280a420907dfa8837d33d |
|
BLAKE2b-256 | d63f4519fc0711e3a187a2fde890f1d9fb318061d2ee9c9c2226fae63bdd3229 |
File details
Details for the file edc_lab-0.3.57-py3-none-any.whl
.
File metadata
- Download URL: edc_lab-0.3.57-py3-none-any.whl
- Upload date:
- Size: 132.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1625ad70a5b9ed19654ed06fd45f6450db6ea8d84e83c01f1a6309d57853b519 |
|
MD5 | 60b4175367b363e7fc89a11667e178de |
|
BLAKE2b-256 | 5a9b6e5bafd90a7761b0e1ba218675c72957027fcf176254889836f2762198e6 |