I'll be involved in the ENCODE Users' Meeting this month. Here's the advert for it:
Registration for the first ENCODE Users Meeting is now open. Cost and links to abstract submission and registration are available at: http://www.encode2015.org/
The ENCODE 2015: Research Applications and Users Meeting will be a 2.5-day workshop to learn how to navigate, analyze, use, and integrate ENCODE and mouseENCODE data. The NHGRI-sponsored meeting will be held from June 29 - July 1, 2015 at the Bolger Center (http://www.bolgercenter.com) in Potomac, MD.
This meeting will have both scientific presentations from a distinguished list of invited speakers and hands-on tutorial sessions with the goal of learning how ENCODE and mouseENCODE data has been used and providing opportunities to apply these tools to your own data.
We will have a poster session and select talks from the submitted abstracts. In addition, this meeting will provide opportunities for scientist to interact with people familiar with ENCODE datasets and analysis and foster future collaborations.
Abstract submission deadline: June 1, 2015
- Stephen Baylin, Johns Hopkins School of Medicine
- Brad Bernstein, Harvard/Massachusetts General Hospital
- Stephen Chanock, National Cancer Institute
- Chris Cotsapas, Yale University
- Nancy Cox, Vanderbilt University
- Chris Glass, University of California, San Diego
Mathieu Lupien, University of Toronto
Len Pennacchio, Lawrence Berkeley National Laboratory
- Katherine Pollard, University of California, San Francisco
- Wesley Pike, University of Wisconsin-Madison
- Evan Rosen, Harvard Medical School
- Shamil Sunyaev, Harvard Medical School
- Katalin Susztak, University of Pennsylvania
- and many more
- Learn to use resources for viewing, querying, and downloading ENCODE data
- Run ENCODE processing pipelines on your own data (ChIP-seq, RNA-seq, DNase-seq, DNA methylation)
- Integrate ENCODE data with those from your lab or major projects
- Use ENCODE data to:
- Interpret human variation and personal genomes
- Interpret cancer genomes
- Connect genes to their controlling regulatory elements to target genes across the genome
- Identify likely cell types and pathways underlying non-coding disease associations
We look forward to seeing you in June.