Metadata-Version: 2.1
Name: dmethylation
Version: 0.0.2a3
Summary: UNKNOWN
Home-page: https://gitlab.com/r78v10a07/dmethylation
Maintainer: Vera Alvarez, Roberto
Maintainer-email: veraalva@ncbi.nlm.nih.gov
License: Public Domain
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Django :: 2.1
Classifier: Intended Audience :: Science/Research
Classifier: License :: Public Domain
Classifier: Natural Language :: English
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Dist: uWSGI
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: Django
Requires-Dist: django-appconf
Requires-Dist: django-compressor
Requires-Dist: django-filter
Requires-Dist: djangorestframework
Requires-Dist: settings-overrider
Requires-Dist: dgenome


dmethylation
-----------

Dmethylation is a Django app to store the Illumina methylation data. It can be used for Illumina Infinium 
HumanMethylation450 BeadChip and Infinium MethylationEPIC BeadChip 

Quick start
-----------

1. Add "dgenome" to your INSTALLED_APPS setting like this::

    INSTALLED_APPS = [
        ...
        'dgenome',
        'dmethylation',
    ]

2. Include the dgenome URLconf in your project urls.py like this::

    url(r'^dmethylation/', include((dmethylation.urls, 'dmethylation'), namespace='dmethylation')),

3. Run `python manage.py makemigrations dgenome` to create the dgenome tables.

4. Run `python manage.py makemigrations dmethylation` to create the dmethylation tables.

5. Run `python manage.py migrate` to create the dmethylation models.

6. Insert the Illiumina HumanMethylation450 or MethylationEPIC CSV file with the 
script: bin/load_annotation_HumanMethylation450.py

7. See available API endpoints:

   /dmethylation/api/



