tuttlelm fork includes modifications for downstream compatibility with pyHXExpress
Additions include conversion of HDExaminer and pyHXEXpress outputs to a format that can be read in by pyHDX to create HDXMeasurement objects. This then allows computing the RFU_residue values and creating coverage plots.
**some original features may not be compatible
PyHDX is python project which can be used to derive Gibbs free energy from HDX-MS data.
Installation of the latest stable beta with pip:
$ pip install pyhdxInstallation with web interface extra:
$ pip install pyhdx[web]Conda install (includes web interface extra):
$ conda install pyhdxMost up-to-date code examples are in the directory pyhdx/templates
To run the web server:
$ pyhdx servePlease refer to the docs for more details on how to run PyHDX.
The PyHDX web application is currently hosted at: http://pyhdx.jhsmit.org
A test file can be downloaded from here and here (right click, save as).
A beta version might be available at: http://pyhdx-beta.jhsmit.org
Our Analytical Chemistry Publication describing PyHDX can be found here
The latest version (v2) of our biorxiv paper: https://doi.org/10.1101/2020.09.30.320887
Python code for analysis and generation the figures in the paper are here: https://github.com/Jhsmit/PyHDX-paper
HDX MS datasets repository and format: https://github.com/Jhsmit/HDX-MS-datasets
HDXMS datasets python bindings: https://github.com/Jhsmit/hdxms-datasets