Editors: Julyan H. E. Cartwright, Simone Giannerini and Diego L. González
This issue focuses on the theoretical understanding of all the topics related to the coding and decoding of genetic information. Biology, chemistry and also physics tell us how the process of translating genetic information into life could possibly work, but we are still very far from a complete understanding of this process. Mathematics and statistics give us methods to describe such natural processes, or parts of them, within a theoretical framework. Also, they provide us with hints and predictions that can be tested at the experimental level. Furthermore, there are peculiar aspects of the management of genetic information that are intimately related to information theory and communication theory. This issue is aimed at fostering discussion on the problem of genetic coding and information through the presentation of different innovative point of views. The main aim is to stimulate discussions and updated scientific exchange that will lead to new research on why and how life can exist from the point of view of the coding and decoding of genetic information.
Cover image: The Graces, Asclepius, and Mercury, by Giacomo Bossi. We thank the library at Trinity College, Cambridge for arranging for us to photograph their copy at short notice.
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Also of interest
- Beyond crystals: the dialectic of materials and information
- Heterotic and hybrid material computing
- Complex dynamics of life at different scales: from genomic to global environmental issues
- The foundations of computation, physics and mentality: the Turing legacy
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About the Guest Editors
Julyan H. E. Cartwright is a physicist interested in understanding the emergence of structure and pattern in nature. He has been studying mechanisms and processes of pattern formation, self-organization, and self-assembly in numbers of different natural systems.
Simone Giannerini is professor of Statistics at the Department of Statistical Sciences, University of Bologna (Italy). His research interests include nonlinear time series, the interplay between nonlinear dynamics, chaos and statistics and mathematical and statistical modelling of genetic coding/decoding processes. He has published in the field of statistics, probability, mathematical physics, mathematical biology, econometrics.
Diego L. Gonzalez is a theoretical physicist interested in the mathematical modelling of complex biological systems, mainly related to the origin and the mathematical structure of genetic coding and decoding, and to neural sensing systems. His main background is in the theory of nonlinear dynamical systems.