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The Rise of Computational Biology
Nature Reviews Molecular Cell Biology, 2002 The year 2001 saw a remarkable burst of interest in biological simulation, with several international meetings on the subject, and the inclusion, by journals, of web site references from which published models can be downloaded. So, why has all this happened so suddenly?
Denis Noble
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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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COMPUTERS IN MEDICINE AND BIOLOGY
Journal of the American Medical Association, 1959Problems hitherto insoluble because of the formidable amount of calculation involved can now be left to machine computers of either the analog or the digital type. Both types are being applied to medical problems. They not only speed up calculations but can also be wired in such a way as to simulate biological regulatory systems and to incorporate any ...
H, WEINRAUCH, A W, HETHERINGTON
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Computational biology on parallel computers
2003 European Control Conference (ECC), 2003Several 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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(Computational) synthetic biology
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011The ultimate goal of systems biology is the development of executable in silico models of cells and organisms. Systems biology attempts to provide an integrative methodology, which while able to cope with -on the one hand- the data deluge that is being generated through high throughput experimental technologies -and on the other hand- emerging ...
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"Computational Biology and Bioinformatics"
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006I will discuss the current state of progress in high performance computing, biomolecular simulation and algorithms as we are applying them to understanding a range of problems in the use of information technology to understand biological systems. Examples will include the use of pattern discovery algorithms to understand gene expression, the use of ...
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Computational Biology and Language
2005Current scientific research is characterized by increasing specialization, accumulating knowledge at a high speed due to parallel advances in a multitude of sub-disciplines. Recent estimates suggest that human knowledge doubles every two to three years – and with the advances in information and communication technologies, this wide body of scientific ...
Madhavi Ganapathiraju +3 more
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Complexity Issues in Computational Biology
Fundamenta Informaticae, 2012The progress of research in the area of computational biology, visible in last decades, brought, among others, a new insight into the complexity issues. The latter, previously studied mainly on the ground of computer science or operational research, gained by a confrontation with problems from the new area.
Jacek Blazewicz, Marta Kasprzak
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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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The Center for Computational Biology
2005 IEEE Computational Systems Bioinformatics Conference (CSB'05), 2005This talk will describe the research of our new Center for Computational Biology (CCB). Our goals are to apply computational and mathematical approaches to the study of genes, cells, systems and whole brain. The major objectives of the CCB are to develop, implement and test computational biology strategies that are applicable across spatial scales and ...
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