NSF's $35M to Improve Scientific Software
News Aug 01, 2016
Scientists increasingly rely on computers to gain insights about the world through simulations, data analytics or visualizations. These computational investigations typically rely on scientific software that makes it possible to perform virtual experiments and explore laboratory research data with reliable, reproducible results, whether one is using a desktop computer or the nation's most powerful supercomputers.
Today, the National Science Foundation (NSF) announced two major awards to establish Scientific Software Innovation Institutes (S2I2). The awards, totaling $35 million over 5 years, will support the Molecular Sciences Software Institute and the Science Gateways Community Institute, both of which will serve as long-term hubs for scientific software development, maintenance and education.
"The institutes will ultimately impact thousands of researchers, making it possible to perform investigations that would otherwise be impossible, and expanding the community of scientists able to perform research on the nation's cyberinfrastructure," said Rajiv Ramnath, program director in the Division of Advanced Cyberinfrastructure at NSF.
Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.