Computer Science

Microarray analysis - a complex technology commonly used in many applications such as discovering genes, disease diagnosis, drug development and toxicological research - has just become easier and more user-friendly. A new advanced software program called Eureka-DMA provides a cost-free, graphical interface that allows bioinformaticians and bench-biologists alike to initiate analyses, and to investigate the data produced by microarrays. The program was developed by Ph.D. student Sagi Abelson of the Rappaport Faculty of Medicine at the Technion-Israel Institute of Technology in Haifa, Israel.

David Patterson, PhD, professor of computer science at the University of California at Berkeley, talks to contributing editor Tanuja Koppal, PhD, about big data—what it is, where it applies, and what lab managers can expect to gain by investing in it. He also provides guidance on where people can get more
information about (and help with) big data and the possible concerns they need to be aware of.

The latest innovations in big data and computation don’t just change the tech world, they also push forward the frontiers of science. With tools such as cloud computing, urban sensors, and machine learning, scientists are asking important questions and finding new discoveries in medicine, urban studies, biology, astronomy, and beyond.

The University of Virginia recently announced (Jan. 30) the commitment of a $10 million gift that establishes an endowment to support its new Data Science Institute.















