Designing experiments that aid in the identification of regulatory networks.

Designing experiments that aid in the identification of regulatory networks. Research Abstract Details 

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Designing experiments that aid in the identification of regulatory networks. Abstract Text:

Kenneth J Kauffman,Babatunde A Ogunnaike,Jeremy S Edwards,

Predictive mathematical models of the interactions of a genetic network can provide insight into the mechanisms of gene regulation, the role of various genes within a network and how multiple genes interact leading to complex traits. However, identification of the parameters and interactions is currently a limiting step in the development of such models. This work reviews the state of the art for design of experiments in biological systems and demonstrates the need for improved design of experiments through the use of a model system. Appropriate design of experiments has a profound impact on the ability to identify a model and on the quality of resulting identified model. Key issues include the selection of appropriate input sequences (e.g. random, independent multivariate inputs) and the selection of the sampling frequencies. This work demonstrates that these issues are especially important in the identification of biochemical networks and that the traditional biochemical approach is incapable of truly identifying the behavior present in such networks.

Designing experiments that aid in the identification of regulatory networks. Publishing Authors By Initials

KJ Kauffman,BA Ogunnaike,JS Edwards,

For similar natural sciences: science: research: research design research abstracts see: natural sciences: science: research: research design research

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Designing experiments that aid in the identification of regulatory networks. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Briefings in functional genomics & proteomics

VOLUME: 4

Page Numbers: 331-42

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ISSN: 1473-9550

DAY: 10

MONTH: 02

YEAR: 2006

Designing experiments that aid in the identification of regulatory networks. Information

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LANGUAGE: eng

NlmUniqueID: 101150306

Designing experiments that aid in the identification of regulatory networks. Keywords Mesh Terms:

KEYWORDS: Research Design

MESH TERMS: genetics

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Grant and Affiliation Information for Designing experiments that aid in the identification of regulatory networks.

AFFILIATION: University of Delaware, USA.

Country: England

AGENCY: United States NCRR

GRANT: 5P RR15588-02

ACRONYM: RR

MEDLINETA: Brief Funct Genomic Proteomic

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