Application of jQuery, d3, backbone and require in data visualization with complex biological data: A Case Study
Advances in the biological research area like genomics and proteomics resulting proliferation of massive complex data. These data are very complex in nature require better understanding, to know about the relationship between these. That's why it may have laid the technological foundation for biological data visualization by using graph theory approach.
Outline/structure of the Session
A. Acquiring and Cleaning/Processing of Data
B. Visualizing Data with JQuery, d3 and backbone
C. How to handle modules through require
D. Representing Network Data by Graph Theory
E. Network Visualization
F. Q & A
At the end of Demonstration, participants will:
- have strong understanding of complex biological data and visualization techniques,
- learn about core d3 libraries that enable data visualization,
- see practical application of creating amazing and informative graph theory based visualizations of complex data, and
- can use in future for similar or advance kind of work.
Web Developers, Statisticians, Data Analysts, and Scientist.