Clinical Genomic Analysis
Different technological breakthroughs over the last two decades have led to the availability of unprecedented amounts of 'omic' data. Thus, it is estimated that sequencing of about 1,000 full human genomes will be completed during 2010; sequencing of hundreds of thousands of SNPs are routinely completed for thousands of individuals; the complete genome sequences of many organisms, including hundreds of different bacteria species, are already publically available; and gene expression data are routinely collected at a genome wide scale under numerous experimental conditions.
Since the birth of these new technologies it was recognized that machine learning and statistical techniques are essential in revealing useful insights out of these massive complex data. Since 2006, our group is consistently involved in this line of study. Thus, as part of the EuResist project we led the development of a novel Clinical Decision Support system for HIV patients, which analyzes clinical data along with corresponding viral genomic data of thousands of patients. We are also involved in the Hypergenes project, which focuses on revealing the genetic basis of essential hypertension. Moreover, we recently organized and hosted a workshop devoted to clinical genomic analysis that attracted many participants from Israel, Europe, and the US. Our team is also leading the development of various analysis tools that will be integrated into a generic Clinical Decision Support system, as part of the cli-G grand-challenge project that was recently launched at HRL.
Contact: Yaara Goldschmidt (YAARAG@il.ibm.com)