In silico biology.

Richard A. Goldstein; Phil Husbands; Chrisantha Fernando; Dov J. Stekel

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Conference object . 2013

Data sources: Europe PubMed Central

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Conference object

Data sources: DBLP

In silico biology.

descriptionPublicationkeyboard_double_arrow_right Conference object 13 Nov 2013 English Journal:Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (issn: 2335-6936,

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Authors: Richard A. Goldstein; Phil Husbands; Chrisantha Fernando; Dov J. Stekel;

pmid: 19908399

In silico biology.

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Abstract

Rather than studying existent living systems, we can increasingly produce computer models that capture the salient aspects of life. This provides us with unprecedented opportunities to examine, manipulate, and explore biological phenomena, allowing us to investigate some of the deepest issues in biology.

Related Organizations

University of Sussex
United Kingdom

Keywords

Systems Biology, Computational Biology, Computer Simulation, Synthetic Biology, Biodiversity, Biological Evolution, Models, Biological

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average