AFQ-Browser will run in any standard web browser and is designed to visualize AFQ results.
See: http://yeatmanlab.github.io/afqbrowser-demo for a working example
AFQ-Browser requires the numpy, scipy and pandas libraries. These are all included in the Anaconda Python distribution
AFQ-Browser and its dependencies can also be installed using pip:
pip install AFQ-Browser
To install AFQ-Browser from source,
download the
source code and run python setup.py install in the top-level folder after
extracting it.
After installing the software, you can run the program on mat files generated by AFQ. For an example, download this mat file, change your working directory to the location where the file was downloaded to, or move the file to your current working directory and run:
afqbrowser-assemble afq.mat
afqbrowser-run
Open a browser pointing to http://localhost:8080, to view the visualization of these data and to interact with it. The variables in the metadata table are created based on the variables that are stored in the [metadata field] (https://github.com/yeatmanlab/AFQ/wiki#including-subject-metadata-in-the-afq-structure) of the afq.mat file.
There is a command line function that allows you to publish your website to Github. If you don't already have one, start by creating a Github account. Then run the following sequence:
afqbrowser-assemble # Run this if you haven't before
afqbrowser-publish -t ./AFQ-Browser -r myresults
Where ./AFQ-Browser is the folder that was created by afqbrowser-assemble,
and the URL of the website is: https://username.github.io/myresults (with
username replaced with your Github username, and myresults replaced with the
input to the -r flag).