The world's largest map from the Sloan Digital Sky Survey
Visualize the brain's connected neurons through the Open Connectome Project
Visualize entire genomes with the Center for Computational Biology
Kilometer-scale automated ecological monitoring with Life Under Your Feet
Access a supercomputer numerical simulation via the Johns Hopkins Turbulence Databases
The Science of Big Data
The Institute for Data Intensive Engineering and Science will foster education and research in applying data-intensive technologies to problems of national interest in physical and biological sciences and engineering.
IDIES will provide faculty, researchers and students with the structure and resources needed to accomplish these goals.
Last Friday, December 12th, Dr. Dániel Kondor, a Postdoctoral Research Fellow from the Senseable City Laboratory at MIT, presented a talk entitled “Urban Sensing Using Social Media and Cellular Network…
SciServer Compute features Jupyter notebooks running in server-side Docker containers attached to large relational databases and file storage to bring advanced analysis capabilities close to the data. SciServer Compute is…
Abstract Recently, there have been significant advances in single-cell genomic and proteomic technologies that can measure the expression of thousands of mRNA transcripts and dozens of proteins. However, this data…
Where: Charles Commons conference center When: November 14, 2016