Institute for Biocomplexity and Informatics

E1002071

The Institute for Biocomplexity and Informatics is a research center focused on complex biological systems and theoretical biology, known for work in areas such as complexity theory, evolution, and systems biology.

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Institute for Biocomplexity and Informatics canonical 1

Statements (46)

Predicate Object
instanceOf academic research center
biological research institute
research institute
aimsTo develop predictive models of biological systems
integrate theory and experiment in biology
understand principles of biological complexity
collaboratesWith researchers in biology
researchers in computer science
researchers in mathematics
researchers in physics
contributesTo development of computational tools for biology
quantitative understanding of evolution
theoretical foundations of systems biology
educationalRole hosting seminars and workshops on biocomplexity
training of graduate students in theoretical and computational biology
fieldOfWork biocomplexity
complex biological systems
complexity theory
computational biology
evolutionary biology
mathematical biology
systems biology NERFINISHED
theoretical biology
focusesOn evolutionary dynamics
interdisciplinary research
modeling of complex biological systems
multi-scale biological modeling
network biology
nonlinear dynamics in biology
hasApproach integration of computational and experimental methods
interdisciplinary collaboration between biologists and mathematicians
researchArea ecological modeling
evolution of cooperation
genetic and genomic modeling
information processing in biological systems
origin and maintenance of complexity in evolution
population dynamics
studies adaptation and evolutionary innovation
emergent properties in biological systems
evolutionary game theory applications in biology
robustness and stability of biological networks
self-organization in living systems
usesMethod computational simulation
mathematical modeling
statistical analysis
theoretical analysis

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Stuart Kauffman employer Institute for Biocomplexity and Informatics