Webcast: Whole Genome Copy Number Association Analysis with Golden Helix

Presenter: Christophe Lambert, PhD., Golden Helix CEO and Co-Chair of the FDA MAQC CNV Team

Date: November 14, 2007

Duration: 60 Minutes

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Abstract

This webcast provides the first look at the methods behind Golden Helix' Copy Number Analysis Module (CNAM). CNAM employs an exact optimal segmenting algorithm based on dynamic programming that can detect copy number variations (CNVs) down to a single probe level. With options for univariate (single sample) and multivariate (multiple samples) segmenting CNAM opens the door to the next breakthrough in genetic analysis: genome-wide association studies with CNV data.

About the Presenter

Dr. Christophe Lambert is the Chairman and CEO of Golden Helix, Inc., a bioinformatics company he founded in Bozeman, MT in 1998. Dr. Lambert graduated with his Bachelors in Computer Science from Montana State University in 1992 and received his Ph.D. in Computer Science from Duke University in 1997. Dr. Lambert is also currently the co-chair of the Food and Drug Administration’s Genome Wide Copy Number Variation Data Analysis Team of the Microarray Quality Control Consortium.