CONFERENCE SPONSORS


CONFERENCE HOST UNIVERSITY AND GOLD SPONSOR:

Purdue University
Vice President, Office of Research
Bioinformatics Core


 SILVER SPONSORS:


Indiana University
University Information Technology Services
Department of Biology
School of Informatics and Computing
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University of Michigan, Dept of Computational Medicine and Bioinformatics

BRONZE SPONSORS:


The Research Division
of Ohio University
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Department of Computer Science and Engineering
Eck Institute for Global Health
Complex Networks Lab
University of Notre Dame


EXHIBITOR SHOWCASE SPONSOR:

 

Cincinnati Childrens’s Hospital Medical Center
Division of Biomedical Informatics, University of Cincinnati


POSTER AWARDS SPONSOR:


Faculty of 1000


BEST PAPER AWARD SPONSOR:


Springer


INDUSTRY SPONSOR:



University of Michigan Bioinformatics Core
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PerkinElmer


GENERAL SPONSOR:


Purdue University

Agricultural Research

RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges

ABOUT THE CONFERENCE


The RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges is one of the premier annual meetings for computational and experimental scientists in the areas of regulatory genomics and systems biology. The conference will be held in Toronto, Ontario, Canada, November 8 - 12, 2013.

As in the past, the conference combines the following areas:

  • Regulatory Genomics
  • Systems Biology
  • DREAM reverse engineering challenges

The conference will present the latest findings about regulatory and systems genomics, foster discussion about current research directions, and establish new collaborations that will advance the development of a systems-level understanding of gene regulation. It will feature keynote presentations, oral presentations, and poster presentations.

Possible topics to be discussed include:

  • Modeling and recognition of regulatory motifs and modules
  • Chromatin state establishment, maintenance, and role in development
  • Post-transcriptional regulation and small regulatory RNAs
  • Regulatory networks, metabolic networks, proteomic networks
  • Cellular signatures of biological responses and disease states
  • Phosphorylation, metabolic fluxes, systematic phenotyping
  • Mathematical modeling and simulation of biological systems
  • Methods for systematic validation of high-throughput biological predictions
  • Approaches for aggregation of results arising from different methodologies

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