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This repository has been archived by the owner on May 9, 2024. It is now read-only.

computational-metabolomics/django-misa

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This django application has been archived - django-misa functionality now within django-mogi and used for DMAdb - see https://dmadb.readthedocs.io/en/latest/

misa

Build Status (Travis) Py versions

ISA organisation for metabolomic studies with Django

Further documentation available on ReadTheDocs

Quick start

  1. Add "misa" and django application dependencies to your INSTALLED_APPS setting like this (misa should come before gfiles and mbrowse):

    INSTALLED_APPS = [
        ...
        'misa',
        'mbrowse',
        'gfiles',
    
        'django_tables2',
        'django_tables2_column_shifter',
        'django_filters',
        'bootstrap3',
        'django_sb_admin',
        'dal',
        'dal_select2',
    ]
    
  2. Include the polls URLconf in your project urls.py like this:

    url(r'^', include('gfiles.urls')),
    url('mbrowse/', include('mbrowse.urls')),
    url('misa/', include('misa.urls')),
    
  3. Run python manage.py migrate to create the misa models.

  4. Start the development server and visit http://127.0.0.1:8000/misa/ilist/

  5. Register http://127.0.0.1:8000/register/ and login http://127.0.0.1:8000/login/

  1. Create an investigation http://127.0.0.1:8000/icreate/, study http://127.0.0.1:8000/icreate/, assay http://127.0.0.1:8000/icreate/acreate
  2. Upload data to an assay http://127.0.0.1:8000/upload_assay_data_files/[assay-id]/
  3. Add a protocol e.g. Chromatography protocol http://127.0.0.1:8000/cp_create
  4. Add ontology information http://127.0.0.1:8000/search_ontologyterm

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⚠️ 🚫 [DEPRECATED] see README for more details.

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