Abstract
AbstractIn computer science, we can theoretically neatly separate transmission and processing of information, hardware and software, and programs and their inputs. This is much more intricate in biology. Nevertheless, I argue that Shannon’s concept of information is useful in biology, although its application is not as straightforward as many people think. In fact, the recently developed theory of information decomposition can shed much light on the complementarity between coding and regulatory, or internal and environmental information. The key challenge that we formulate in this contribution is to understand how genetic information and external factors combine to create an organism, and conversely how the genome has learned in the course of evolution how to harness the environment, and analogously how coding, regulation and spatial organization interact in cellular processes.
Funder
Max Planck Institute for Mathematics in the Sciences
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Ecology, Evolution, Behavior and Systematics,Statistics and Probability
Reference41 articles.
1. Ay N, Bertschinger N, Jost J, Olbrich E, Rauh J (to appear) Information and complexity, or: where is the information? In: Albeverio S, Mastrogiacomo E (eds.)
2. Ay N, Olbrich E, Bertschinger N, Jost J (2011) A geometric approach to complexity. Chaos 21:037103. https://doi.org/10.1063/1.3638446
3. Ergebnisse der mathematik;N Ay,2017
4. Bateson G (1972) Steps to an ecology of mind. University of Chicago Press, Chicago
5. Bertschinger N, Rauh J, Olbrich E, Jost J, Ay N (2014) Quantifying unique information. Entropy 16:2161–2183. https://doi.org/10.3390/e16042161
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