Life Sciences
Indiana University continues its long tradition of national and international leadership in the life sciences. Four Nobel laureates have been associated with Indiana University – all in the life sciences. The IU School of Medicine and Clarian Health Partners, Indiana’s leading health care
system, have made seminal discoveries in the genetic bases of human disease and in treatments for cancer and other serious diseases. IU Bloomington’s Department of Biology is an international leader in a range of areas, from genomics and developmental biology to microbiology and plant biology, and its Department of Chemistry is among the best in the world at developing new analytical instruments that enable scientists to understand the expression of genetic information. Researcher’s in IU’s Department of Psychology are at the forefront of advances in neuroscience, and IU School of Medicine researchers are using molecular modeling algorithms to accelerate drug discovery. Other schools within IU are leaders in their respective disciplines, among them Dentistry, Nursing, and Optometry are at the national forefront. The IU School of Informatics is pursuing research at the leading edge of efforts to manage, understand, and make use of the massive stream of life sciences data now being produced around the clock.
Radiology Workflow: Leveraging HPC in Preclinical Oncology
Delivering HPC and storage resources to medical workflows using multi-gigabyte datasets poses many challenges for today’s research and cyberinfrastructure leaders. The IU School of Medicine’s Department of Radiology requires timely software reconstruction and analysis of large data sets. IU technologists have optimized workflow to improve productivity and utilize central HPC resources for preclinical oncology research. By utilizing IU’s Quarry supercomputer, radiologists are able to accelerate reconstructions 25-fold, drastically
accelerating analytical productivity.
Radiology Workflow: Leveraging HPC in Preclinical Oncology
Delivering HPC and storage resources to medical workflows using multi-gigabyte datasets poses many challenges for today’s research and cyberinfrastructure leaders. The IU School of Medicine’s Department of Radiology requires timely software reconstruction and analysis of large data sets. IU technologists have optimized workflow to improve productivity and utilize central HPC resources for preclinical oncology research. By utilizing IU’s Quarry supercomputer, radiologists are able to accelerate reconstructions 25-fold, drastically
accelerating analytical productivity.
CompuCell3D - An open source cellular modeling framework
CompuCell3D is an open-source modeling framework to study cellular behavior. It is primarily intended for biologists and physicists who can build models using “generalized cells.” The code is written in C++ and has both Python and Java wrappers with a graphical user interface that allows for real time visualizations (for small to moderately-sized problems); for larger sized problems, IU’s Big Red supercomputer has been used to run the simulations. This presentation provides an overview of CompuCell3D and results from a 3-D model of tumor growth.
CompuCell3D - An open source cellular modeling framework
CompuCell3D is an open-source modeling framework to study cellular behavior. It is primarily intended for biologists and physicists who can build models using “generalized cells.” The code is written in C++ and has both Python and Java wrappers with a graphical user interface that allows for real time visualizations (for small to moderately-sized problems); for larger sized problems, IU’s Big Red supercomputer has been used to run the simulations. This presentation provides an overview of CompuCell3D and results from a 3-D model of tumor growth.
