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The Canadian Entomologist, 1973
One hundred years ago the theory of evolution was new in men's minds and battles still raged between the protagonists and the antagonists. But this was not the first time that biologists had been divided. Much earlier they argued about the moral and ethical use of microscopes to aid their work.
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One hundred years ago the theory of evolution was new in men's minds and battles still raged between the protagonists and the antagonists. But this was not the first time that biologists had been divided. Much earlier they argued about the moral and ethical use of microscopes to aid their work.
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Nature, 2002
To understand complex biological systems requires the integration of experimental and computational research -- in other words a systems biology approach. Computational biology, through pragmatic modelling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight
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To understand complex biological systems requires the integration of experimental and computational research -- in other words a systems biology approach. Computational biology, through pragmatic modelling and theoretical exploration, provides a powerful foundation from which to address critical scientific questions head-on. The reviews in this Insight
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Explaining Biology to Computers
OMICS: A Journal of Integrative Biology, 2003THE KEY TO INTEROPERATION and therefore to computer-empowerment in biology will be a technology infrastructure that supports the development and use of a repertoire of pragmatically driven, longitudinally maintained, terminology models that “explain biology to computers.” Called “Reference Terminology Models,” these resources name and relate concepts ...
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Towards practical applications in quantum computational biology
Nature Computational Science, 2021Aleksey K. Fedorov, Mikhail S. Gelfand
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Computational biology on parallel computers [PDF]
2003 European Control Conference (ECC), 2003 Several applications in computational biology have large runtime and memory requirements either because of large data sizes or the inherent time and memory complexity of the underlying algorithms. Parallel computing is an effective way to address both these concerns — run-time can be reduced by the use of multiple processors to solve the same problem ...
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Biological computation and computational biology: survey, challenges, and discussion
Artificial Intelligence Review, 2021Zaineb Chelly Dagdia +2 more
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Computational Biology Problems
2017This chapter deals with some combinatorial optimization problems arising in computational biology. We first survey the assessment of the evolutionary distance between two genomes. The problem is equivalent to packing the edges of a bi-colored graph into a maximum number of alternating cycles, which naturally leads to an exponential-size ILP model.
Lancia G., Serafini P.
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Algorithms on Strings, Trees, and Sequences - Computer Science and Computational Biology
, 1997D. Gusfield
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