Google Tech Talks
October 30, 2008
In 18 months full human genome sequences will be available under $100 - and in minutes. The $5,000 full human genome was announced to come in 9 months. Is "Big IT" ready for the avalanche of data, to be obtained and processed e.g. while the patient is still on the operating table, to be diagnosed, and how the genomics glitch, that caused a benign or malign tumor, could be compensated for?
Algorithmic approaches are needed to better understand genome regulation, even for the simple reason to deploy most effective data retrieval, data storage and computational means, via both parallel hardware and software, but more importantly for opening entirely new perspectives.
In the 100+ year old Genomics, for over half a Century had us to resign to the fatalistic gloom that we are stuck with any glitches in our inherited genome. Is it true that genomic glitches doom one to "incurable" hereditary diseases?
No longer. Genomics now considers the DNA-RNA-Protein chain not as a thermodynamically closed system, where entropy increases, but as an open system that can be interfered with. There is theoretically sound hope that you are not stuck with your genomic glitches.
After half a Century of sticking to two mistaken axioms of Genomics, the paradigm of recursive genome function must quickly make up for lost time for those (potentially) inflicted with formerly "incurable" diseases. "The Genome baby is left on the doorsteps of Information Technology".
Doctors sent those inflicted with fleece for "debugging". Debugging genome information (by Genome Computers) would be much harder without understanding the algorithms that our natural genome computing operates with.
Speaker: Dr. Andras Pellionisz
Ph.D. in Biology
Ph.D. in Computer Engineering
Director of Genome Informatics, Mitrionics, Inc., Los Gatos, California
European Union visiting Professor for Hungary (for "European Inaugural of IPGS")
Founder of International PostGenetics Society (IPGS,PostModern era of Genetics "beyond Genes")
Founder of FractoSoft (Software for PostGenetics, Silicon Valley, with Central European outsourcing)
Founder of Helixometry (IP portfolio holding, Silicon Valley)
Inventor and Founder of FractoGene (Fractal approach to DNA)
Chief Software Architect and Chief Intelligence Officer of several Silicon Valley Internet Companies in the dot.com boom
Founder of International Neural Networks Society (INNS)
Founding Editor of Neural Networks (publication organ of INNS)
Section Editor for Neural Networks of The Cerebellum (Springer, New York & Heidelberg)
Professor of Physiology and Biophysics, New York University Medical Center
Visiting Professor of Marburg University, Germany (Humboldt Prize for Senior Distinguished Amercian Scientists)
Visiting Professor of UMR/CNRS, College de France, Paris
Senior Research Council Associate of the National Academy of Science, USA, to NASA
PostDoctoral Fellow, University of Iowa
PostDoctoral Fellow, Stanford University
Tenured Senior Research Fellow of the Hungarian Academy of Sciences