Theoretical biology/External Links: Difference between revisions
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imported>Anthony.Sebastian (adding Institute for Theoretical Biology, Humbolt U., Berlin) |
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:*Theoretical Biology is naturally interdisciplinary. It draws ideas from other disciplines and, in reverse, supports them by quantification and precision. Therefore, it is on the way to become a general and extensive structural science of organized systems, which might be able to point out similarities between the organization of physico-chemical, biological, economical, and social systems. | :*Theoretical Biology is naturally interdisciplinary. It draws ideas from other disciplines and, in reverse, supports them by quantification and precision. Therefore, it is on the way to become a general and extensive structural science of organized systems, which might be able to point out similarities between the organization of physico-chemical, biological, economical, and social systems. | ||
*[http://www-binf.bio.uu.nl/ Theoretical Biology & Bioinformatics, Utrecht University] | *[http://www-binf.bio.uu.nl/ Theoretical Biology & Bioinformatics, Utrecht University] | ||
:*Biotic systems are complex dynamic information processing systems in which processes on many space and time scales interact. Our aim is to understand them as such. To this end we develop and analyze mathematical/computational models of a broad range of biological systems. In the seventies we coined the term bioinformatics for the study of informatic processes in biotic systems. According to the Oxford English Dictionary this was the first use of the term bioinformatics. The concept provides us with a unified framework for a research area for which a variety of names have now become fashionable, which includes, apart from bioinformatics ss (i.e. data-analysis of e.g. genomic data), the dynamic modeling approaches referred to as | :*Biotic systems are complex dynamic information processing systems in which processes on many space and time scales interact. Our aim is to understand them as such. To this end we develop and analyze mathematical/computational models of a broad range of biological systems. In the seventies we coined the term bioinformatics for the study of informatic processes in biotic systems. According to the Oxford English Dictionary this was the first use of the term bioinformatics. The concept provides us with a unified framework for a research area for which a variety of names have now become fashionable, which includes, apart from bioinformatics ss (i.e. data-analysis of e.g. genomic data), the dynamic modeling approaches referred to as ''systems biology'', ''computational life sciences'', ''computational biology'', and which partially overlaps with ''complex systems research'' and ''Artificial Life''. Our formalisms range from mathematical models, cellular automata, genetic algorithms, to discrete-event individual-oriented simulation models. The research of our group is part of the Life Sciences and Biocomplexity and the Infection and Immunity focus areas of the Utrcecht University. | ||
*[http://biology.leidenuniv.nl/ibl/S11/index.shtml Theoretical Biology, Institute of Biology, Leiden University] | *[http://biology.leidenuniv.nl/ibl/S11/index.shtml Theoretical Biology, Institute of Biology, Leiden University] | ||
:* Our goal is to pursue fruitful and active research in the area of theoretical biology and the related disciplines of computational biology and bioinformatics, focussing on Evolutionary Dynamics. | :* Our goal is to pursue fruitful and active research in the area of theoretical biology and the related disciplines of computational biology and bioinformatics, focussing on Evolutionary Dynamics. | ||
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::*Nordic rattle: the hoarse vocalization and the inflatable laryngeal air sac of reindeer (Rangifer tarandus). | ::*Nordic rattle: the hoarse vocalization and the inflatable laryngeal air sac of reindeer (Rangifer tarandus). | ||
::*Comparison of human protein-protein interaction maps. | ::*Comparison of human protein-protein interaction maps. | ||
*[http://mtbi.asu.edu/ The Mathematical and Theoretical Biology Institute]. An Academic Institute in the Mathematical, Computational & Modeling Sciences Center. Arizona State University College of Liberal Arts and Sciences. | |||
::*With the culmination of the 2006 summer institute, MTBI has mentored 277 undergraduate participants who have produced 111 technical reports. Furthermore, over 60% of its alumni are currently graduate students, or have completed graduate programs, mostly in the mathematical sciences. |
Latest revision as of 14:26, 15 December 2011
- Please sort and annotate in a user-friendly manner and consider archiving the URLs behind the links you provide. See also related web sources.
- Founded in 2005, the Department of Theoretical Biology is dedicated to an integrative approach in the study of developmental and evolutionary processes using biometric and bioinformatic methods that lead to simulation and theoretical integration.
- Theoretical Biology searches to discover characteristic principles of order within the variety of biological phenomena by describing the organizational dynamics of living systems in a formal way. In addition to a more profound understanding of single phenomena, it has brought about new starting points in the search for answers to the most fundamental questions in biology: What is life? How did the organisms evolve? How to explain the tremendous complexity and variety of living systems?
- Theoretical Biology is rooted in the times of the Enlightenment. However, it started to prosper only in this century. At the beginning, Johannes Reinke, Julius Schaxel, and Jakob von Uexküll formulated the concept of Theoretical Biology for the first time. In the twenties and thirties, Fisher, Haldane, Lotka, Volterra, v. Bertalanffy, and others founded the modern type of a mathematically oriented Theoretical Biology by developing population genetics, population ecology, and general systems theory. Nowadays, it has infiltrated almost every field in biology.
- Despite of being independent, Theoretical Biology stays in intimate dialogue with experimental biological research. However, in contrast to the latter it uses mathematics as its language and computers as the most important tools - very similar to Theoretical Physics, which gave some important impulses during its development. By allowing simulations, computers help to understand very complex processes, intuitively, thus complementing the mathematical analysis of simplified models. In addition, philosophical and epistemological questions are investigated in Theoretical Biology. The precise definition of biological terms and the characterization of cognition by using formal systems, in general, are fundamental tasks of Theoretical Biology now and in future.
- Theoretical Biology is naturally interdisciplinary. It draws ideas from other disciplines and, in reverse, supports them by quantification and precision. Therefore, it is on the way to become a general and extensive structural science of organized systems, which might be able to point out similarities between the organization of physico-chemical, biological, economical, and social systems.
- Biotic systems are complex dynamic information processing systems in which processes on many space and time scales interact. Our aim is to understand them as such. To this end we develop and analyze mathematical/computational models of a broad range of biological systems. In the seventies we coined the term bioinformatics for the study of informatic processes in biotic systems. According to the Oxford English Dictionary this was the first use of the term bioinformatics. The concept provides us with a unified framework for a research area for which a variety of names have now become fashionable, which includes, apart from bioinformatics ss (i.e. data-analysis of e.g. genomic data), the dynamic modeling approaches referred to as systems biology, computational life sciences, computational biology, and which partially overlaps with complex systems research and Artificial Life. Our formalisms range from mathematical models, cellular automata, genetic algorithms, to discrete-event individual-oriented simulation models. The research of our group is part of the Life Sciences and Biocomplexity and the Infection and Immunity focus areas of the Utrcecht University.
- Our goal is to pursue fruitful and active research in the area of theoretical biology and the related disciplines of computational biology and bioinformatics, focussing on Evolutionary Dynamics.
- Image showing evolution of "Computer-Man"
- Research Groups:
- Evolution of Organismic Systems (Prof. Dr. Peter Hammerstein)
- Computational Neuroscience (Prof. Dr. Andreas Herz)
- Molecular and Cellular Evolution (Prof. Dr. Hanspeter Herzel)
- Neural Computation (Prof. Dr. Laurenz Wiskott)
- Theoretical Neuroscience (Dr. Richard Kempter)
- Systems Immunology (Dr. Michal Or-Guil)
- Theoretical Systems Biology (Dr. Markus Kollmann)
- Publication Titles 2007:
- UniHI: an entry gate to the human protein interactome.
- The evolution of endosymbiont density in doubly infected host species.
- Wolbachia-induced unidirectional cytoplasmic incompatibility and the stability of infection polymorphism in parapatric host populations.
- Nordic rattle: the hoarse vocalization and the inflatable laryngeal air sac of reindeer (Rangifer tarandus).
- Comparison of human protein-protein interaction maps.
- The Mathematical and Theoretical Biology Institute. An Academic Institute in the Mathematical, Computational & Modeling Sciences Center. Arizona State University College of Liberal Arts and Sciences.
- With the culmination of the 2006 summer institute, MTBI has mentored 277 undergraduate participants who have produced 111 technical reports. Furthermore, over 60% of its alumni are currently graduate students, or have completed graduate programs, mostly in the mathematical sciences.