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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/

Release files for django-mbrowse 0.0.2

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