Biological systems need to process information accurately with noisy components and stochastic chemical reactions, and in fluctuating environments. How do we quantify these different noise sources? What are the origins of the different noises? How do biological systems overcome these different levels of noises to carry out their normal functions in particular information processing? On the other hand, biological diversity is needed to improve fitness of a population in changing environment. Whether and how do biological systems take advantage of and control their intrinsic variability to improve the population level fitness? These are some of the questions we will focus on to address in this Gordon Research Conference.
The conference will consist of nine sessions, on the topics listed below. The conference chair is currently developing their preliminary program, which will include the names of the invited speakers and discussion leaders for each of these sessions. The preliminary program will be available by April 17, 2020. Please check back for updates.
- Noise in Gene Expression and Regulation
- Nonequilibrium Physics, Fluctuation Theorems and Active Matter
- Cell Growth, Metabolism and Aging
- Information Processing in Cellular Signal Transduction
- Information Processing in Neuroscience
- Phase Separation and Possible Biological Functions
- Stem Cell, Cancer Genetics and Epigenetics
- Immunology and Noise
- Machine Learning and Biological Data Analysis