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Modelling biological systems is a significant task of systems biology and mathematical biology. [ a ] Computational systems biology [ b ] [ 1 ] aims to develop and use efficient algorithms , data structures , visualization and communication tools with the goal of computer modelling of biological systems.
A structural diagram of the open ocean plankton ecosystem model of Fasham, Ducklow & McKelvie (1990). [1]An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome), which is studied to better understand the real system.
Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate. It requires selecting and identifying relevant aspects of a situation in the real world and then developing ...
The Leslie matrix, for example, mathematically represents the discrete time change of an age structured population. [6] [7] [8] Models are often used to describe real ecological reproduction processes of single or multiple species. These can be modelled using stochastic branching processes.
Biomimetics or biomimicry is the emulation of the models, systems, and elements of nature for the purpose of solving complex human problems. [ 2 ] [ 3 ] [ 4 ] The terms "biomimetics" and "biomimicry" are derived from Ancient Greek : βίος ( bios ), life, and μίμησις ( mīmēsis ), imitation, from μιμεῖσθαι ( mīmeisthai ...
Mathematical biology aims at the mathematical representation and modeling of biological processes, using techniques and tools of applied mathematics. It can be useful in both theoretical and practical research. Describing systems in a quantitative manner means their behavior can be better simulated, and hence properties can be predicted that ...
Artificial life (ALife or A-Life) is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. [1] The discipline was named by Christopher Langton, an American computer scientist, in 1986. [2]
Escherichia coli is a gram-negative prokaryotic model organism Drosophila melanogaster, one of the most famous subjects for genetics experiments Saccharomyces cerevisiae, one of the most intensively studied eukaryotic model organisms in molecular and cell biology. A model organism is a non-human species that is extensively studied to understand ...