Our group investigates integrative approaches to combine functional and systems level knowledge with more traditional omics data and annotation information. We apply a wide range of tools including network inference, machine learning, topological analysis and multi-scale simulation. Simulation studies have included models at the level of molecules, subcellular pathways, cells, tissues and organisms. Recent work has focused on next generation sequencing techniques based on nanopores and on methods to better verify systems biology research.
DREAM Challenges pose fundamental questions about systems biology and translational science. Designed and run by a community of researchers from a variety of organizations, our challenges invite participants to propose solutions — fostering collaboration and building communities in the process. The DREAM Challenges community share a vision allowing individuals and groups to collaborate openly so that the “wisdom of the crowd” provides the greatest impact on science and human health.
- B.J. Pope, B.G. Fitch, M.C. Pitman, J.J. Rice, M. Reumann Performance of hybrid programming models for multiscale cardiac simulations: preparing for petascale computation.IEEE Trans Biomed Eng. 2011 Oct;58(10):2965-9
- M. Reumann, B.G. Fitch, A. Rayshubskiy, M.C. Pitman, J.J. Rice Orthogonal recursive bisection as data decomposition strategy for massively parallel cardiac simulations.Biomed Tech (Berl). Jun;56(3):129-45 (2011).
- C. Jons, J. O-Uchi, A.J. Moss, M. Reumann, J.J. Rice, I. Goldenberg, W. Zareba, A.A. Wilde, W. Shimizu, J.K. Kanters, S. McNitt, N. Hofman, J.L. Robinson, C.M. Lopes Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patients.Sci Transl Med. 2011.