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