This django application has been archived - django-mbrowse functionality now within django-mogi and used for DMAdb - see https://dmadb.readthedocs.io/en/latest/

mbrowse

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/