 Okay, so I'm Dan Gilchrist, I'm an NHGRI Program Director. One of the key objectives of this workshop is to identify current and future opportunities for better understanding genome function and for applying that understanding. So the arena of genome function encompasses a very, very large conceptual space and that can be considered from many different viewpoints and it's a space that can be explored in many different dimensions from studies of model organisms to human tissues, studies that support work in basic biology to specific focuses on diseases. And so because this is such a large and varied space, NHGRI can't explore the entire space ourselves, that's going to be up to much larger communities. But we hope that we can identify areas where we can make a significant impact and really catalyze research in parts of this genomic space that hopefully you will help us identify over the course of this workshop. So we have a lot of varied expertise in the room today. As people are coming from such distinct backgrounds we thought it would be a good idea to start with a really high level view of what the functional genomics landscape looks like now and what it might look like over the next couple of years. So everybody is very, very roughly on the same page for a jumping off point. So we're going to begin with an overview of the current phase of ENCODE, ENCODE 3 by Mike Snyder, and he's going to present what current ENCODE participants see as the likely contributions, both data generation and conceptual, when that phase of ENCODE ends in mid-2016. And then we're going to move to a series of very high level overviews of what we are referring to for lack of a better term as ENCODE related projects. So these were selected for a variety of reasons. First they have some similarity to ENCODE either in the goals, the type of data they're generating or the resources they're making available to different communities. Second they all share a key feature of an NHGRI type of project which is to provide a genome scale resource which enables work from larger scientific communities. And finally these all tend to be larger multi-lab efforts, and that is largely for a practical reason. Of course there is a huge, huge contribution to functional genomics understanding from individual labs, but that tends to be much harder to track. It's a little bit easier to keep tabs on these large multi-lab efforts. So I want to finish just by saying that there is a lot of crosstalk between these projects both at the level of PIs who serve in some capacity in multiple projects as well as program officers who are communicating about these projects. We think that this crosstalk is really important because it can help facilitate efficient exploration of this big functional genomic space and avoid unnecessary duplication of efforts. So because we have so much expertise in the room, please take advantage of that over the next couple days. And with that I will end and introduce Mike Snyder who is a longtime member of all things in code. I'm Mike Curtin, PI of an encode production center, and I will leave it to Mike.