Skip to main content

Tools for the analysis of data from ToxR experiments.

Project description

Open-source ToxR data analysis.

Transmembrane-domain interactions of proteins are vital for cellular function. ToxR, TOXCAT and dsTBL are powerful tools for investigating these interactions in natural membrane environment. The pytoxr module contains tools for the analysis of data from ToxR-based laboratory experiments.


pip install pytoxr

pytoxr requires python (tested for 3.x) with the standard scientific packages numpy, scipy, pandas, seaborn, and matplotlib. Pip should also automatically install the eccpy package of Mark Teese (

Development Status

pytoxr has been used to analyse a small number of data files within our work group. Code is available to use without any guarantee or warranty. It has not been extensively tested.


A peer-reviewed article is in preparation. For now, please reference as the “pytoxr package of Mark Teese, Technical University of Munich.”


This software is released under the permissive MIT license.


For contact details, see the image below.

Further contact details are available at my staff page within the Langosch lab of the Technical University of Munich.

Project details

Download files

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

Files for pytoxr, version 0.0.7
Filename, size File type Python version Upload date Hashes
Filename, size pytoxr-0.0.7-py3-none-any.whl (31.4 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size pytoxr-0.0.7.tar.gz (29.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page