Content about health and medicine

Novel algorithms and high-performance computational techniques have simplified and accelerated genome assembly. Scientists from Berkeley Lab have used the Edison supercomputer to reduce a months-long process to mere minutes.

The volume of video content has exploded in recent years, and museums and libraries face the daunting task of evaluating the condition of their collections to make preservation and access decisions. To meet this challenge, data curators, video engineers, supercomputing experts, and neuroscientists are testing and implementing quality assessment algorithms in supercomputers to rapidly identify levels of video quality in large collections.

Discover how the DNANANO project has been using the Curie supercomputer — a PRACE tier-0 system — to help design nanocages for targeted drug delivery.

Simulating one of these nanocages for just 100 nanoseconds would take nearly a decade on a normal workstation. However, by accessing PRACE resources, the research group was able to carry out multiple simulations of this kind in less than thirty days.

Scientists at the University of Houston have shown the mind can triumph over matter. For the first time, researchers have demonstrated prosthetic grasping control can be inferred from EEG without invasive measures.

You may think XSEDE is nothing more than access to high-performance computing resources. But did you know XSEDE offers a full range of training opportunities to teach your scientists and engineers how to work with supercomputers?  

Heart failure (HF) is a disease experienced globally by 26 million people. A new EU-funded project will monitor breath, saliva, and other symptoms of HF and send smartphone alerts to HF patients every time they find themselves in a critical situation.

Cancer researchers at the University of Oslo are using the Abel supercomputer to detect which parts of the genetic code may cause bowel and prostate cancer.

Big data opens doors previously closed to researchers, yet the volume of data sends scientists looking for analytical tools to bring order from the informational cacophony. Prior to tools like Bioconductor, there were few options for working with quantitative data types; a discordant score for deciphering the human genetic code was the result.

Today, genomic analysis machines create a common language for users, and build a worldwide community to foster developers from among subject matter experts. These instruments make beautiful music from a mass of genomic information.