BIG DATA for DISCOVERY SCIENCE
Discovery Science (aka "discovery-based science"): a scientific methodology which emphasizes analysis of large volumes of experimental data with the goal of finding new patterns or correlations, leading to hypothesis formation and new scientific results.
infographic
The Big Data for Discovery Science Center (BDDS) - comprised of leading experts in biomedical imaging, genetics, proteomics, and computer science - is taking an "-ome to home" approach toward streamlining big data management, aggregation, manipulation, integration, and the modeling of biological systems across spatial and temporal scales.
 
Neuroimaging represents the leading edge of the onslaught of big data. The maturation of in vivo neuroimaging over the past 25 years has led to incredible quantities of digital information about the form and function of the human brain.
A phenotype is the biological expression of genes such as brown eyes, or in genetic disorders like Huntington's disease. By comparing phenomes over large populations, researchers hope to decipher which genes are responsible for which traits.
The human proteome now consists of more than 18,000 mapped proteins and can potentially be used to understand the flow of biological information from genes to cellular functions.
Researchers have sequenced nearly 225,000 genomes worldwide, and estimates suggest that we will have sequenced roughly five million complete human genomes by 2020.

Upcoming Events and Training

Future events coming soon!

See all events >>