Life Sciences at RENCI: Big Data IT to Manage, Decipher, Inform
This white paper explains how the Renaissance Computing Institute (RENCI) of the University of North Carolina uses EMC Isilon* scale-out NAS storage, Intel® processor and system technology, and iRODS-based* data management to tackle big data processing, Hadoop-based* analytics, security, and privacy challenges in research and clinical genomics.
Life sciences at RENCI: big data IT to manage, decipher, and inform
Turning big data into insight in the lab and therapy in the clinic is perhaps the preeminent challenge of modern life sciences. Not only must massive datasets be managed and analyzed, but the insights gleaned must also be delivered to healthcare professionals and patients in a way they can understand and use. Kirk Wilhelmsen, M.D./Ph.D., Charles Schmitt, Ph.D., and their colleagues at the Renaissance Computing Institute (RENCI) of the University of North Carolina (UNC) are at the forefront of efforts to create the necessary IT infrastructure and tools to advance this ambitious goal.
RENCI’s Health & Bioscience initiatives span basic research, advanced genomics, translational medicine, and clinical decision support. Some are tightly focused, such as two “knowledge-based medicine” programs that are developing decision support tools to enhance the way physicians treat epilepsy and prostate cancer. Another, Secure Medical Workspace* (SMW*), is creating a platform for providing controlled access to confidential medical records stored in the Carolina Data Warehouse for Health (CDW-H). A fourth initiative, Informatics for Genetic Sequencing* (IGS*) is the epitome of the big data challenge; it’s working on developing the end-to-end IT infrastructure necessary to support advanced DNA sequencing, genomics research, and the delivery of genomics-informed healthcare.
Read the full Carrier Cloud Telecoms: Life Sciences at RENCI: Big Data IT to Manage, Decipher, Inform White Paper.