Research¶

Our research is conducted using a combination of open-source software, public research cyberinfrastructure, version control systems, and containerized workflows.

Methods¶

Genetics data are served from national data repositories

Machine Learning¶

Python & Tensorflow¶

Our project Jupyter Notebooks are hosted on GitHub

These can be run in CyVerse using their Data Science Workbench

To launch one of our Notebook analyses click here

Visualization¶

Analyses¶

Bayesian Belief Networks¶

Containerized Workflow¶

In order to use interactive apps in CyVerse, you will need access to the following services/software

Prerequisite	Preparation/Notes	Link/Download
CyVerse account	You will need a CyVerse account	Register
Discovery Environment access	In the Portal, click the ‘Available’ tab, locate Discovery Environment and click the link	Discovery Environment

CyVerse provides base images of featured interactive apps here: https://github.com/cyverse-vice/

Launch RStudio:

Launch Jupyter:

Analysis code is hosted on GitHub and on CyVerse Data Store

Fix or improve this documentation

On Github: GitHub
Send feedback: tswetnam@arizona.edu