By Robert Pool
The aim of this workshop used to be to compile bioinformatics stake holders from executive, academe, and for an afternoon of shows and discussion. Fifteen specialists pointed out and mentioned one of the most very important matters raised via the present flood of biologic info. themes explored incorporated the significance of database curation, database integration and interoperability, consistency and criteria in terminology, blunders prevention and correction, info provenance, ontology, the significance of holding privateness, information mining, and the necessity for extra laptop scientists with distinctiveness education in bioinformatics. even if formal conclusions and proposals won't come from this actual workshop, many insights can be gleaned concerning the way forward for this box, from the context of the discussions and shows defined here.
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Additional resources for Bioinformatics: Converting Data to Knowledge, Workshop Summary
Christian Overton was the director of the Center for Bioinformatics at the University of Pennsylvania. He held dual appointments as associate professor at University of Pennsylvania in the Departments of Genetics and Computer and Information Sciences. His work focused on annotation of the human genome through computational analyses and database integration. Database integration, which remains one of the more formidable challenges facing bioinformatics, enables access to vertical information within a species (genome, transcriptome, and proteome information) and horizontally across species to identify orthologous relationships.
Mazziotta offered three examples of how this sort of system can be put to work. In the first, researchers at UCLA looked at images of the brains of 14-year-olds and 20-year-olds and asked whether there were any differences—a question that, because of natural brain-to-brain variation, would be nearly impossible to answer by looking at one or two subjects at each age. ” But by mapping the normal range of 14-year-old brains and the normal range of 20-year-old brains, the group showed that changes did indeed take place in the prefrontal cortex and the base of the forebrain.
Another current project of Dr. Shin is to develop a database including physiology models, cell images, and biochemical and electrophysiologic data to support the Virtual Cell framework. In 1999, Dr. Shin was the recipient of the University of Connecticut’s Chancellor’s Information Technology Award. Dr. Shin holds MSE (1981) and PhD (1985) degrees in computer science and engineering from the University of Michigan, Ann Arbor. He joined the University of Connecticut faculty in 1986. During the 1993-1994 academic year, he was a visiting faculty member at the Genome Data Base at Johns Hopkins University.
Bioinformatics: Converting Data to Knowledge, Workshop Summary by Robert Pool