SGI, a global leader in high-performance solutions for compute, data analytics, and data management, announced that through the use of advanced genetic algorithms processed on a SGI supercomputer, scientists at the Linding Lab within the Biotech Research & Innovation Centre (BRIC), University of Copenhagen (UCPH), have discovered how genetic diseases such as cancer systematically attack the networks controlling human cells. By developing advanced algorithms to integrate data from quantitative mass-spectrometry and next generation sequencing of tumor samples, the UCPH researchers have been able to uncover cancer related changes to phospho-signaling networks at a global scale. The studies are some of the early results of the strategic collaboration between SGI and the Linding Lab at UCPH. The landmark findings have been published in two back-to-back papers in today’s Cell journal. To read further, please visit http://www.sgi.com/company_info/newsroom/press_releases/2015/september/ucph.html.