INFO 491 Capstone 2016

##Problem Statement How do we create a genetic data visualization platform for genetic researchers to better understand, utilize and interpret their data on familial genetics.

##Set Up

1. Clone this repo
2. Run python -m SimpleHTTPServer 8080 in Terminal
3. Navigate to Spyro's Index or Dashboard pages

##TODO List

• Header + Footer [DONE]
• Index/Intro Page [DONE]
  • About Page [DONE]
• Top View
  • Side bar to switch between views [DONE]
  • Single Family View [de-prioritizing]
  • Multiple Family View [DONE]
  • File Directory [DONE]
• Bottom View
  • BioGraph Visualization [DONE]
  • Bar Graph Visualization [de-prioritizing - put in dummy image]
  • Side-by-side comparison of visualizations [DONE]
• Additional Functionality
  • Save Session (and be able to delete saved sessions) [DONE]
  • Download BioGraph Data viz side-by-side comparison [DONE]
  • Popup for Refresh/Update [optional]

##Backend API Notes The infrastructure of our application is a 38GB memory server hosted on Microsoft Azure. The server is owned by our sponsor, SpiralGenetics. SpiralGenetics has patented a custom data structure that allows them to compress a large amount of genetic data and load them into memory. In addition, they have implemented a low level API that is able to interrogate the in memory dataset, and a Python application that allows them to visualize genetic variance in the CLI.

Spyro is a front end application that consumes the genetic variance data available through the low level API. However, SpiralGenetics does not have a REST API for developers to query and effectively leverage their data. Our goal is to help implement a REST API that allows them to expose their dataset through a web endpoint and returns the dataset in JSON structure that will be consumable to developers. We plan on using the data to construct a genetic variance bar chart that will make it more effective for researchers to identify coordinates of mutation.