Statistical Modeling of Epigenomics and Gene Regulation
Thursday, August 27 -- Friday, August 28, 2015
Pierce Hall, Room 209, 29 Oxford Street
Harvard University, Cambridge, MA

"Nucleosome 1KX5 2" by Richard Wheeler (Zephyris) 2005, Wikimedia Commons.

Recent advances in sequencing technologies have enabled biologists to obtain an increasingly comprehensive and accurate description of the molecular processes underlying life. Large-scale data-gathering efforts such as the ENCODE and Cancer Genome Atlas projects have provided researchers with an unprecedented volume of data, highlighting the complexity inherent in the control of gene expression. This explosion of data has created a formidable challenge and opportunity for computational and statistical modelling: innovative techniques are needed to understand and characterize the noise sources in the data, and to uncover associations and mechanisms potentially relating the various sources of information.

In this workshop, we will bring together researchers from the statistical modeling and bioinformatics communities to discuss recent advances and challenges in this exciting field of research. The workshop will encompass a series of invited and contributed talks, as well as discussion sessions between participants.

Confirmed Keynote Speakers (abstracts appear here)

Jason Ernst (University of California Los Angeles)
Sayan Mukherjee (Duke University)
Uwe Ohler (Max-Delbrueck Center, Berlin, Germany)
Michael Stadler (Friedrich Mischner Institute, Basel, Switzerland)

Program (final draft available here)

The workshop will start in the morning of August 27th and last until 5pm on August 28th.
There will be lunch available on both days, and an evening workshop reception on August 27th.
The program will include invited keynote lectures, contributed talks and posters, and a discussion session.

Registration and Abstracts

Please register by clicking here. The registration deadline will be Friday, July 24th.
We invite contributions for short talks and posters. Please send abstracts for consideration to mstraubel@fas.harvard.edu.
Abstracts should be submitted in PDF format and be no longer than one page plus one figure (minimum font size 11pts).
We encourage submissions of both preliminary and recently published work (within the last year).
Abstracts are due by Friday, July 17th. If you submit an abstract early, donít forget to register for the conference once the link is live!

Organizers

Guido Sanguinetti (Edinburgh)
Edoardo Airoldi (Harvard Statistics)

Acknowledgements

This workshop is funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC)
through an International Partnering Award (grant no BBSRC BB/I024747/1).