NIH VideoCast - Exploring Systems Medicine Using Translational Bioinformatics

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Exploring Systems Medicine Using Translational Bioinformatics

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Air date:	Wednesday, April 21, 2010, 4:15:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 281 * This only includes stats from October 2011 and forward.
Category:	Immunology
Runtime:	01:12:51
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	Dr. Atul Butte is a faculty member at Stanford University who specializes in solving problems relevant to genomic medicine by developing new methodologies in translational bioinformatics. He has developed bioinformatics methods to take genomic, genetic, phenotypic, and RNAi data from multiple sources and phenotypes and reason over these data. To facilitate this, the lab has developed tools to automatically index and find genomic data sets based on the phenotypic and contextual details of each experiment and to assist in re-mapping microarray data. Dr. Butte uses these tools to convert the billions of points of molecular, clinical, and epidemiological data measured by biomedical investigators and clinicians over the past decade into insights with diagnostic and therapeutic potential. In his talk, Dr. Butte will highlight how using publicly-available molecular data enables the discovery of new gene variants and biomarkers for diseases like diabetes, suggests novel roles for drugs in the treatment of disease, and for the first time allows us to probe the inner commonality across disease. Many of Dr. Butte's analyses have revealed an unexpected role for inflammation in metabolic and other disease states. He is an exciting speaker working on the cutting edge of bioinformatics and systems medicine. The Immunology Interest Group

NLM Title:	Exploring systems medicine using translational bioinformatics / Atul Butte.
Author:	Butte, Atul J. National Institutes of Health (U.S.). Immunology Interest Group
Publisher:
Abstract:	(CIT): Dr. Atul Butte is a faculty member at Stanford University who specializes in solving problems relevant to genomic medicine by developing new methodologies in translational bioinformatics. He has developed bioinformatics methods to take genomic, genetic, phenotypic, and RNAi data from multiple sources and phenotypes and reason over these data. To facilitate this, the lab has developed tools to automatically index and find genomic data sets based on the phenotypic and contextual details of each experiment and to assist in re-mapping microarray data. Dr. Butte uses these tools to convert the billions of points of molecular, clinical, and epidemiological data measured by biomedical investigators and clinicians over the past decade into insights with diagnostic and therapeutic potential. In his talk, Dr. Butte will highlight how using publicly-available molecular data enables the discovery of new gene variants and biomarkers for diseases like diabetes, suggests novel roles for drugs in the treatment of disease, and for the first time allows us to probe the inner commonality across disease. Many of Dr. Butte's analyses have revealed an unexpected role for inflammation in metabolic and other disease states. He is an exciting speaker working on the cutting edge of bioinformatics and systems medicine. The Immunology Interest Group.
Subjects:	Computational Biology--methods Translational Medical Research--methods
Publication Types:	Lecture Webcast
NLM Classification:	QU 26.5
NLM ID:	101531566
CIT Live ID:	8685
Permanent link:	https://videocast.nih.gov/watch=8685

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