ENCODE 2016: Research Applications and Users Meeting

June 8th - 10th, 2016

Li Ka Shing Center - Stanford University

Detailed Agenda | Tutorials + Workshop Materials | Logistics


Hi ENCODE 2016 Users Meeting Participants,

Thanks for helping make ENCODE 2016 a huge success.  We appreciate your enthusiasm, excellent questions, and conversation.  We need your feedback to make ENCODE resources as useful to the community as possible! 

Please take ~10 minutes and fill out this survey before you leave the meeting, and let us know how we can improve ENCODE data, tools, and outreach efforts: https://www.surveymonkey.com/r/ENCODE2016

We’ll be sending out a follow-up survey in a couple months to hear how the meeting is impacting your use of ENCODE resources.

If you have any questions please don't hesitate to contact us at: encode-help@lists.stanford.edu and follow us on twitter @encodedcc

Slides and PDFs will continue to be uploaded onto the Tutorials page, and we will be posting video of many of the presentations very soon as well.  And be sure to check out our photo stream (flic.kr/s/aHskxZj1sA) to relive the memories!  Many thanks to Forrest Tanaka for the excellent pictures. 


The ENCODE Outreach Working Group



Nancy Cox, Vanderbilt University



٭ Grace Xiao, University of California, Los Angeles

٭ Tom Gingeras, Cold Springs Harbor Laboratory

٭ Brenton Graveley, University of Connecticut Health Center

٭ Mathieu Lupien, Princess Margaret Cancer Centre 

٭ Katherine Pollard, The Gladstone     Institutes/UCSF

٭ Tim Reddy, Duke University

٭ Bing Ren, University of California, San Diego

٭ Yijun Ruan, The Jackson Laboratory

٭ Michael Snyder, Stanford University

٭ Barbara Stranger, University of Chicago

٭ Zhiping Weng, University of Massachusetts Medical School

٭ Matthew Freedman, Dana Farber/Harvard Cancer Center



- Viewing, querying, and downloading ENCODE data

- Running ENCODE processing pipelines on your own data (including ChIP-seq, eCLIP-seq, RNA-seq,     DNase-seq, DNA methylation)

- Integrating ENCODE data with those from your lab or other major projects

- Using ENCODE data to interpret human variation, personal genomes, and disease (including cancer)     genomes

- Connecting regulatory elements to their target genes across the genome

- Integrative analysis

Here is the agenda from last year's meeting.