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Browse and View Metabolomic datasets

Project description

Build Status (Travis) Py versions

Browse, view and search metabolomic datasets

Further documentation available on ReadTheDocs

Quick start

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

    INSTALLED_APPS = [
        ...
        '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')),
    
  3. Run python manage.py migrate to create the mbrowse models.

  4. Start the development server and visit http://127.0.0.1:8000/mbrowse/general_summary

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

  6. Upload metabolomics mzML files (can also be done with djang-misa and django-mogi) http://127.0.0.1:8000/mbrowse/upload_mfiles_batch/

  7. Upload LC-MS data set (can be done through galaxy, see django-mogi) http://127.0.0.1:8000/mbrowse/upload_lcms_dataset/

  8. Browse and view the datasets http://127.0.0.1:8000/mbrowse/cpeakgroupmeta_summary/

  9. Browse and view the annotations http://127.0.0.1:8000/mbrowse/cpeakgroupmeta_summary/

  10. Search the datasets http://127.0.0.1:8000/mbrowse/search_result_summary/

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