Skip to main content

Protein Turnover web pipeline

Project description

protein_turnover_website

Website for protein turnover

installation

pip install protein_turnover
pip install protein_turnover_website
# run the website (both frontend and back)
turnover web

Run just the website:

FLASK_APP=protein_turnover_website.wsgi flask run
# *OR*
gunicorn --workers=4 protein_turnover_website.wsgi

A posssibly superior entry point is to use uv. With uv installed you can install protein-turnover (+plus website) with

uv tool install protein-turnover-website --with=gunicorn

# on Windows use this.... (pyarrow not yet supported for 3.14 -- as of Oct 2025)
uv tool install protein-turnover-website --python=3.13 --with=waitress

# ...
turnover web

# OR try it out with...

uv run --with=protein-turnover-website --with=gunicorn turnover web

You can then just run turnover web.

You can even just try out the website ....

# OR just
uv run --with=protein-turnover-website --with=gunicorn turnover web -- --access-logfile=-

Configure turnover website

You can run this as simple:

In the instance folder create a file protein_turnover_website.cfg

MOUNTPOINTS = [
    ("/path/to/msms/files", "nickname"),
    # only show mzML file here
    ("/another/path/to/msms/files", "nickname", r".*\.mzML$")

]

Run the website with turnover web and go the the configuration.html page for more information.

Project details


Download files

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

Source Distribution

protein_turnover_website-0.9.1.tar.gz (811.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

protein_turnover_website-0.9.1-py3-none-any.whl (848.3 kB view details)

Uploaded Python 3

File details

Details for the file protein_turnover_website-0.9.1.tar.gz.

File metadata

File hashes

Hashes for protein_turnover_website-0.9.1.tar.gz
Algorithm Hash digest
SHA256 1e6128e29d1a9b233fa546b8f7899c5b3158b070959f819a43a7a2faf9c66fef
MD5 0be7ac0f7be9eaf175a6d24bb0d99508
BLAKE2b-256 94a50aa6c618fee063fb578b0eb7ab6b2d65c8fc6f04c4a02b40b784b70e8f42

See more details on using hashes here.

File details

Details for the file protein_turnover_website-0.9.1-py3-none-any.whl.

File metadata

File hashes

Hashes for protein_turnover_website-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3e23de257d0a8a60a5b834e627995ed3d6979b3ef78e23761d9011795b951c18
MD5 2c341ab566a4225d7aaafe1daf90a718
BLAKE2b-256 35b74c22afb400a798d0d4d817fc9b15f76ff135de5be6c3b1f9c3325e7c4fb1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page