In terminal, type: python web_viz.py 'path to directory of .vcf files' e.g. python web_viz.py /Users/my_name/Desktop/my_vcf_dir

If sucessful, you should see a message like:

	 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
	 * Restarting with stat
	127.0.0.1 - - [27/Jul/2015 17:49:19] "GET / HTTP/1.1" 200 -
	127.0.0.1 - - [27/Jul/2015 17:49:19] "GET /cohort.js HTTP/1.1" 200 -

and then go to the given url to see the visualization.

Cohort ---> Sample ---> Single SV

• Cohort:
  • Stacked bar chart of SV event counts for each sample
  • Each bar links to a corresponding sample page
• Sample
  • List of SVs, grouped by unique event ID
  • Each event ID links to an SV profile page
• SV
  • Lists breakends
  • Lists genes near breakends