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----------------------------------------------------------------------------- || Tuesday, September, 7, 2004|| "Systematic approaches to chromatin dynamics in gene regulatory coding." "Systematic approaches to chromatin dynamics in gene regulatory coding." A priori comprehension of the gene regulatory code in eukaryotes based on genomic sequence alone is impossible due to: (i) bi-fold degeneration of the DNA-code, (ii) nonlinear signal integration by transcription coregulators, and (iii) under-determination. Chromatin dynamics provide through covalent histone modifications a third information- and time-scale of nuclear coding. Gene regulation in an intact cell therefore is the integration of DNA-sequence, epigenetics, and chromatin dynamics. In order to identify primary gene regulatory circuits and their plasticity, a systemic approach including chromatin dynamics is consequently required. We have begun to formalize chromatin dynamics based on mean-field and single-molecule reaction kinetics and nonlinear thermodynamics and amended resulting models to numerical enumeration. Subsequently, using analytical methods, a computationally obligatory reduction in complexity of resulting time- and spacetime-dependent graphs is being realized. Resulting probability vectors for spacetime evolution of the chromatin dynamics can then be superimposed upon actual genomes and integrated with complex search heuristics and functional genomics data via the a[c]e - annotation of complex/combinatorial enhancers - platform which will be presented during the talk. Our approach is systemic, modular, and open. Its descriptive and predictive accuracy intensifies in pace with increasingly available systematic experimental data, and should contribute to the deciphering of gene-regulatory code.
|| Wednesday, September, 8, 2004|| "Visual Data Mining: Rapid Solutions via Pattern Recognition
" "Visual Data Mining: Rapid Solutions via Pattern Recognition" To those with data and the will to decode it there are few mysteries. Buried within piles of numbers, masked by rote statistical analyses, and hiding behind the sheer number of factors involved, however, the true nature of many processes - from semiconductor fabrication to insulin manufacture and disease progression- has long defied human comprehension. This provokes many engineering and scientific disciplines to simply turn computers on, shovel numbers in, and extract answers applicable only over a narrow range as well as rigidly restricted domains. The key to escaping such a status quo is to keep the computers but re-engage our minds. Since the primary conduit of information into the human brain is through the eyes, this requires effective data visualization to leverage our innate pattern recognition capabilities. Parallel coordinates are the keystone to achieving and implementing this "heads up" form of analytical thinking... where anyone with a pair of eyes can contribute. Using real, multi-dimensional datasets, the underpinnings of entirely visual analysis will be explained in detail and illustrated through the resolution of high dimensionality problems from both the manufacturing and clinical research fields. Those analyses will be performed by engaging entirely visual methods followed with geometric ("no equations") modeling to demonstrate the capabilities of such technology for clinical response prediction, diagnosis and adverse effect documentation as well as the extraction of relevant patterns from large amounts of scientific data. View Web Page fore this event: http://www.curvaceous.com/index.html Sponsored By: NIH Organizations: NIAID, Office of Technology and Information Systems More information or contact Stephan Bour sbour@niaid.nih.gov
|| Monday, September, 27, 2004|| "Electrospray Wings for Molecular Elephants" "Electrospray Wings for Molecular Elephants" Read about Dr. Fenn at: http://www.has.vcu.edu/che/people/fenn.html Dr. Fenn is a Senior Fellow in the Center for the Study of Biological Complexity
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