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Current Opinion in Genetics & Development
Volume 15, Issue 2, April 2005, Pages 214-221
Chromosomes and expression mechanisms
 
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doi:10.1016/j.gde.2005.02.004    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier Ltd All rights reserved.

Computational methods for transcriptional regulation

Eric D SiggiaE-mail The Corresponding Author

Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA

Available online 26 February 2005.

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How is the information from a thousand gene-expression arrays, the location of more than two hundred regulatory factors, and nine sequenced genomes to be integrated into a global view of the regulatory network in budding yeast? Computational methods that fit incomplete noisy data provide the outlines of regulatory pathways, but the errors are not quantified. In the fly, embryonic patterning has proved amenable to computational prediction, but only when the DNA-binding preferences of the relevant factors are taken into account. In both these model organisms, simply restricting attention to regulatory sequences that align with related species (i.e. ‘conserved’) discards much information regarding what is functional.

Article Outline

Introduction
Computational strategies
Applications
Data Resources
Yeast
Fly
Conclusion
References and recommended reading
Acknowledgements
References

Current Opinion in Genetics & Development
Volume 15, Issue 2, April 2005, Pages 214-221
Chromosomes and expression mechanisms
 
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