Skip to main content

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)::



2. Include the polls URLconf in your project like this::

url(r'^', include('gfiles.urls')),
url('mbrowse/', include('mbrowse.urls')),

3. Run `python migrate` to create the mbrowse models.

4. Start the development server and visit

5. Register and login

6. Upload metabolomics mzML files (can also be done with djang-misa and django-mogi)

7. Upload LC-MS data set (can be done through galaxy, see django-mogi)

8. Browse and view the datasets

9. Browse and view the annotations

10. Search the datasets

.. |Build Status (Travis)| image::

.. |Py versions| image::

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
django_mbrowse-0.0.1-10-py2-none-any.whl (76.6 kB) Copy SHA256 hash SHA256 Wheel py2
django_mbrowse-0.0.1-10-py3-none-any.whl (78.5 kB) Copy SHA256 hash SHA256 Wheel py3
django-mbrowse-0.0.1-10-.tar.gz (63.2 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page