Speakers:
Adam P. Arkin
Lawrence Berkeley National Laboratory
Smadar Ben-Tabou DeLeon
California Institute of Technology
William Bialek
Princeton University
Blagoy Blagoev
University of Southern Denmark
Naama Brenner
Technion-Israel Institute of Technology
Roger Brent
Molecular Sciences Institute
Arup K. Chakraborty
Massachusetts Institute of Technology
Philippe Cluzel
University of Chicago
John Doyle
California Institute of Technology
Johan Elf
Harvard University
Drew Endy
Massachusetts Institute of Technology
Nina V. Fedoroff
The Pennsylvania State University
James R. Faeder
Los Alamos National Laboratory
Mark Goulian
University of Pennsylvania
Jeff Hasty
University of California, San Diego
Jason M. Haugh
North Carolina State University
Alexander Hoffmann
University of California, San Diego
Dale Kaiser
Stanford University
Boris N. Kholodenko
Thomas Jefferson University
Andre Levchenko
Johns Hopkins University
Wendell A. Lim
University of California, San Francisco
Rune Linding
Samuel Lunenfeld Research Institute
John W. Little
University of Arizona
Leslie M. Loew
University of Connecticut Health Center
Avi Ma'ayan
Mt. Sinai School of Medicine
Bernhard Ø. Palsson
University of California, San Diego
Johan Paulsson
Harvard Medical School
John Reinitz
Stony Brook University
Michael A. Savageau
University of California, Davis
Anirvan M. Sengupta
Rutgers
Yuhai Tu
IBM T. J. Watson Research Center
Alexander van Oudenaarden
Massachusetts Institute of Technology
Jose M. G. Vilar
Sloan-Kettering Institute
H. Steven Wiley
Pacific Northwest National Laboratory
Bridget S. Wilson
University of New Mexico
IET Systems Biology is very pleased to be supporting the q-bio Conference on Cellular Information Processing. The best expanded papers presented at the q-bio Conference will be published in a dedicated Special Issue to appear in 2008.
This conference is intended to advance predictive modeling of signal transduction and genetic regulatory systems. The emphasis is on modeling and quantitative experimentation for the purposes of understanding and predicting the behavior of particular regulatory systems and of elucidating general principles underlying cellular information processing.
The single-track program will include invited talks from leading experimental and theoretical researchers as well as shorter talks, poster presentations, and software demonstrations selected from contributed submissions. The program includes two banquets, six sessions covering a range of topics related to gene regulation or cellular signaling, and two extended evening poster sessions.
There will be an opportunity for selected participants to submit papers elaborating on presentations made at the conference to a special issue of IET Systems Biology, a journal indexed by ISI and PubMed.
Lodging is available for all participants on the campus of St. John’s College, which should facilitate interactions and stimulating informal discussions about quantitative biology. However, space is available for only 200 participants. In the event that registration demand exceeds capacity, preference will be given to those individuals selected to present contributed talks or posters.
Organizers:
Jeremy S. Edwards
University of New Mexico
James R. Faeder
Los Alamos National Laboratory
William S. Hlavacek
Los Alamos National Laboratory
Yi Jiang
Los Alamos National Laboratory
Ilya Nemenman
Los Alamos National Laboratory
Michael E. Wall
Los Alamos National Laboratory
Contact:
Adam Shipman
(505) 664-0187
conferences@cnls.lanl.gov