by Arthur G. Palmer, III and Michelle L. Gill
A series of python subroutines to read and extract information from the STAR format mfout file generated by the program ModelFree.
Unlike the BMRB STAR format, the format used by ModelFree uses the data_name field, rather than the save_name field and also allows nested loops. (The mfout file has loops nested to a depth of two only).
mfoutparser/examples directory contains a demonstration Jupyter notebook and sample input and output files. The notebook can be viewed (non-interactively) on GitHub here.
The interactive demo can also be run live in the web browser by clicking here: . After the page loads in Jupyter, click on the following to get to and load the notebook:
mfoutparser has been installed, the
examples directory can be copied to the current path using the following shell command:
python -c 'import mfoutparser as mf; mf.copy_examples()'
mfoutparser has been tested on python 2.7, 3.4, and 3.5. It requires the
numpy (tested on version 1.10.1) and
pandas (version >= 0.17.1) libraries. IPython/Jupyter notebook (version >= 3.2.1) is required to run the demonstration notebook located in the
examples directory. Matplotlib is required if plotting of the data is desired.