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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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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) 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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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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"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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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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Computational Biology — Algorithms and More
2000Computational biology is an area in applied computer science that has gained much attention recently. The reason is that new experimental methods in molecular biology and biochemistry have a.orded entirely novel ways of inspecting the molecular basis of life’s processes.
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