Browse and View Metabolomic datasets
Project description
=====
mbrowse
=====
|Build Status (Travis)| |Py versions|
Browse, view and search metabolomic datasets
Further documentation available on `ReadTheDocs <https://mogi.readthedocs.io/en/latest/>`__
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/
.. |Build Status (Travis)| image:: https://travis-ci.com/computational-metabolomics/django-mbrowse.svg?branch=master
:target: https://travis-ci.com/computational-metabolomics/django-mbrowse/
.. |Py versions| image:: https://img.shields.io/pypi/pyversions/django-mbrowse.svg?style=flat&maxAge=3600
:target: https://pypi.python.org/pypi/django-mbrowse/
mbrowse
=====
|Build Status (Travis)| |Py versions|
Browse, view and search metabolomic datasets
Further documentation available on `ReadTheDocs <https://mogi.readthedocs.io/en/latest/>`__
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/
.. |Build Status (Travis)| image:: https://travis-ci.com/computational-metabolomics/django-mbrowse.svg?branch=master
:target: https://travis-ci.com/computational-metabolomics/django-mbrowse/
.. |Py versions| image:: https://img.shields.io/pypi/pyversions/django-mbrowse.svg?style=flat&maxAge=3600
:target: https://pypi.python.org/pypi/django-mbrowse/
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