Two exciting presentations for our February Meetup!
You can follow us on twitter: @d3jsNYC
Title: D3+React - Build and Manage Large Sophisticated Visual Applications
Description: Come learn how D3 can be used in conjunction with React to build and manage large sophisticated visual applications beyond a single standalone visualization.
Title: Clustergrammer: A Web-based Visualization Tool for Making and Sharing Interactive Clustered Heatmaps
Description: Hierarchically clustered heatmaps are a popular visualization method used in biomedical research to display large biological data sets, such as genome-wide expression. Clustergrammer is a web-based matrix visualization tool, built using D3, that enables users to easily generate highly-interactive (zooming, reordering, searching, and filtering) and shareable clustergram-heatmap visualizations. Clustergrammer also provides dynamic visualizations for several other web-apps in the Ma’ayan lab. The presentation will address the motivations behind the project, how D3 was used to build the visualization, and some of my challenges/experiences with D3 along the way. Clustergrammer can be found at http://amp.pharm.mssm.edu/clustergrammer/ and is an open source project available on GitHub.
Bio: Nicolas Fernandez is a postdoc in Avi Ma’ayan’s lab at the Icahn School of Medicine at Mount Sinai and is interested in data-science and data-visualization among other things. Nicolas currently works in the field of bioinformatics (e.g. gene expression analysis) and has a background in modeling stochastic biological systems. Nicolas holds a PhD in Biomedical Sciences from Albert Einstein College of Medicine and a BS in Physics from the University of Texas at San Antonio.
Note: The Ma’ayan lab ( http://icahn.mssm.edu/research/labs/maayan-laboratory) is currently hiring developers. Also, Nicolas will be on the job market this winter.