Blazing Pathways Through Genetic Mountains-Reference-Cited by-同舟云学术

Blazing Pathways Through Genetic Mountains

Published:2001-09-14 Issue:5537 Volume:293 Page:2049-2051
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Gifford David K.¹

Affiliation:

1. Department of Computer Science, Massachusetts Institute of Technology, 200 Technology Square, Cambridge, MA 02139, USA.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference6 articles.

1. A Gene Expression Map for Caenorhabditis elegans

2. A. Hartemink et al. paper presented at the Pacific Symposium on Biocomputing 2000 Oahu Hawaii 4 to 9 January 2000.

3. D. Pe'er et al. paper presented at the 9th Conference on Intelligent Systems in Molecular Biology (ISMB) Copenhagen Denmark 21 to 25 July 2001.

4. Stochastic mechanisms in gene expression

5. A. J. Hartemink thesis Massachusetts Institute of Technology Cambridge (2001).

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