A Vision for a Biomedical Cloud
We present a vision for a Biomedical Cloud that draws on progress in the fields of Genomics, Systems Biology, and Biomedical Data Mining. The successful fusion of these areas will merge biomarkers, genetic variants, and environmental variables to build predictive models that will drastically increase the specificity and timeliness of diagnosis for a wide range of common diseases, while delivering accurate predictions about the efficacy of treatment options. However, the amount of data being generated by each of these areas is staggering, as is the task of managing and analyzing it. Adequate computing infrastructure needs to be developed in order to assemble, manage, and mine the enormous and rapidly growing corpus of ‘omics’ data along with clinical information. We have now arrived at an intersection point between genome technology, cloud computing and biological data mining. This intersection point provides a launch pad for developing a globally applicable cloud computing platform capable of supporting a new paradigm of data intensive, cloud-enabled Systems Medicine.
© 2011 The Association for the Publication of the Journal of Internal Medicine
Grossman RL, White KP. (Feb 2012) A Vision for a Biomedical Cloud. Journal of Internal Medicine. Vol. 271 (issue 2):122-30. the Institute for Genomics and Systems Biology, Departments of Medicine and Human Genetics, The University of Chicago, Chicago, IL, USA
Research Papers
- Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci
- Genome-wide Association of Yorkie with Chromatin and Chromatin-Remodeling Complexes
- Adaptive evolution and the birth of CTCF binding sites in the Drosophila genome
- CUX1 is a haploinsufficient tumor suppressor gene on chromosome 7 frequently inactivated in acute myeloid leukemia
- Robust and tunable circadian rhythms from differentially sensitive catalytic domains
- Integrated genomic analyses of ovarian carcinoma
- A cis-regulatory map of the Drosophila genome
- Chromatin occupancy analysis reveals genome-wide GATA factor switching during hematopoiesis
- A conserved eEF2 coding variant in SCA26 leads to loss of translational fidelity and increased susceptibility to proteostatic insult
- Orderly wheels of the cyanobacterial clock
