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Transcript
Systems Biology Analysis Methods for Genomic Data 9:30am-5:15pm, Tuesday, 7 October 2014 13-105 CHS (Center for Health Sciences), UCLA Description We will describe network analysis methods widely used in systems biologic and systems genetic applications. The goal is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Participants will learn how to integrate disparate data sets (genetic variation, gene expression, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. We also describe applications to DNA methylation data and the epigenetic clock software. Speakers Steve Horvath, PhD Professor of Human Genetics & Biostatistics UCLA Peter Langfelder, PhD Department of Human Genetics UCLA Schedule 9:30am - 10:30am: Hierarchical clustering and the dynamic tree cut algorithm. Peter Langfelder 10:45am - noon: Weighted correlation network analysis. Steve Horvath Noon - 1:30pm Break for lunch 1:30pm - 2:15pm: Consensus network analysis. Peter Langfelder 2:20pm - 3:15pm: R software tutorial for WGCNA. Steve Horvath 3:30pm - 4:15pm: Systems genetic analysis with structural equation models. Steve Horvath 4:30pm - 5:15pm: The epigenetic clock and user-friendly software. Steve Horvath