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Workshop Announcement:

2015 Network Analysis Short Course

Systems Biology Analysis Methods for Genomic Data

The second Network Analysis Short Course will be held on the campus of the University of California, Los Angeles

Monday, June 29 - Friday, July 3, 2015

Description
This five full-day intensive course will cover network analysis methods widely used in systems biologic and systems genetic applications. The goal of the network analysis workshop is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Students will learn how to integrate disparate data sets (genetic variation, gene expression, epigenetic, protein interaction networks, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. A companion Statistical Genetics Short Course will be held in August 2015.

Topics will include

  • Network Analysis Methods
  • RNA-Seq Data
  • DNA Methylation and other epigenetic data
  • Other High-Dimensional Genomics Data
  • WGCNA
  • Pathway Analysis and Network Visualization
  • Network Based Meta-analyses of Multiple Data Sets
  • Causal Inference
  • Systems Genetics
  • Machine Learning Methods

Instructors

  1. Giovanni Coppola, UCLA
  2. Jason Ernst, UCLA
  3. Steve Horvath, UCLA
  4. O. Dan Iancu, Oregon State University
  5. Christina Kendziorski, University of Wisconsin-Madison
  6. Peter Langfelder, UCLA
  7. Mike Oldham, UCSF
  8. Rob Williams, University of Tennessee

For more information and to apply visit:
http://www.genetics.ucla.edu/courses/statgene/networks/

Or Email: statgene@mednet.ucla.edu

Application deadline is May 15, 2015

The GenoSeq Core has moved to the third floor of the Center for the Health Sciences, CHS 36-125

GenoSeq Core New Location on the third floor of the Center for the Health Sciences
map

Our staff, phone numbers, and email contacts will not change.

New! Sample Pick-Up Service

To ease the transition to our new location for our loyal users, we will be launching a sample pick-up service. We will pick up your samples anywhere on the UCLA campus. Our daily pick-up will be between noon and 1PM. To arrange for pick-up, log your samples using your WebSeq account and choosing R2R or Full Service Signup. In the comments field, record the pickup room, building, and location of your samples within the lab. Print the barcode from the signup webpage, and display it with your samples. We will provide you with a sample drop box for future pick-up requests.