…or How to Put the Internet in a Van… One of the foremost issues facing science and industry today is storing the ever-increasing amounts of data that are created globally. Google’s Eric Schmidt claims that every two days humanity generates as much information as it did from the dawn of civilization up until 2003. There Read more…
Scientists at Stellenbosch University (SU) in Africa have completed the first sequencing of the human genome on that continent with the help of a 5500xl Next Generation Sequencer, nicknamed MegaMind. This achievement was featured in a recent issue of Quest: Science for South Africa, a popular science magazine, published each quarter by the Academy of Read more…
NYU researchers use TACC and XSEDE supercomputers to model the effect of carcinogenic compounds on DNA.
Startup DNANexus is helping to bring personalized medicine to the masses with its cloud-based next-gen sequencing platform.
The notion of “personal genomics” has generated a great deal of buzz over the last several years but according to one researcher, many of the promises that lie at the “plateau of productivity” for this technology are tied to some significant computational-side complexities.
The whirlwind speed of progress in the computer industry happens at an exponential rate that can be predicted. According to Moore’s Law, the processing speed, memory capacity and even the number of pixels in digital cameras doubles every two years. But there is a branch of technology that’s evolving even faster: gene sequencing, the ordering of nucleotides that make up a strand of DNA in an organism. Gene sequencing is the basis of the whole group of life sciences that study the genetic makeup of humans and other organisms in order to extend life.
Next-generation sequencing has opened a world of possibilities for science and medicine, but for providers of remote high performance computing like Penguin Computing via its HPC on demand service, the new world of massive genomics analytics has opened other doors–for researchers and their own business model.
The need to analyze increasingly large amounts of genomics and proteomics data has meant that research institutions such as the Spanish National Cancer Research Centre (CNIO) allocate an increasing amount of to time and budget provisioning, as well as managing and maintaining their scientific computing infrastructure, areas that not their core business. A European IT company, powered by AWS is showing how cloud computing can mitigate these problems and get researchers back to their mission.
Duke University engineer demonstrates how DNA strands can function as optical logic circuits; Impulse C-to-FPGA tools get integrated with DRC coprocessor cards; and PGI compilers are now available on CX line of supercomputers. We recap those stories and more in our weekly wrapup.