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Science 14 September 2001:
Vol. 293. no. 5537, pp. 2049 - 2051
DOI: 10.1126/science.1065113
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Viewpoint
Blazing Pathways Through Genetic Mountains
David K. Gifford
It is now widely accepted that high-throughput data
sources will shed essential understanding on the inner workings of
cellular and organism function. One key challenge is to distill the
results of such experiments into an interpretable computational form
that will be the basis of a predictive model. A predictive model
represents the gold standard in understanding a biological system and
will permit us to investigate the underlying cause of diseases and help
us to develop therapeutics. Here I explore how discoveries can be based
on high-throughput data sources and discuss how independent discoveries
can be assembled into a comprehensive picture of cellular function.
Department of Computer Science, Massachusetts Institute of
Technology, 200 Technology Square, Cambridge, MA 02139, USA. E-mail:
gifford{at}mit.edu
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THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
- Biomedical ontologies: a functional perspective.
- D. L. Rubin, N. H. Shah, and N. F. Noy (2008)
Brief Bioinform
9, 75-90
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