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Modeling of gene regulation and meta...
~
Seaver, Samuel M. D.
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Modeling of gene regulation and metabolism in microbial organisms.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Modeling of gene regulation and metabolism in microbial organisms./
Author:
Seaver, Samuel M. D.
Description:
148 p.
Notes:
Source: Dissertation Abstracts International, Volume: 72-08, Section: B, page: .
Contained By:
Dissertation Abstracts International72-08B.
Subject:
Biology, Bioinformatics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3456699
ISBN:
9781124662886
Modeling of gene regulation and metabolism in microbial organisms.
Seaver, Samuel M. D.
Modeling of gene regulation and metabolism in microbial organisms.
- 148 p.
Source: Dissertation Abstracts International, Volume: 72-08, Section: B, page: .
Thesis (Ph.D.)--Northwestern University, 2011.
Researchers are currently investigating ways in which various microbes can be leveraged for industrial and medicinal purposes. The diversity of the microbial world holds much promise for the future of research in chemical and biomedical engineering. However biological systems evolve, and it is undesirable for engineered or synthesized microbes to change, particularly in ways we can not control. We need to be able to anticipate how microbes evolve. Our ability to do so is greatly hampered by the diversity and complexity of the microbial world and the stochasticity that underlies natural selection.
ISBN: 9781124662886Subjects--Topical Terms:
1018415
Biology, Bioinformatics.
Modeling of gene regulation and metabolism in microbial organisms.
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Modeling of gene regulation and metabolism in microbial organisms.
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148 p.
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Source: Dissertation Abstracts International, Volume: 72-08, Section: B, page: .
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Advisers: Luis A. N. Amaral; Richard I. Morimoto.
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Thesis (Ph.D.)--Northwestern University, 2011.
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Researchers are currently investigating ways in which various microbes can be leveraged for industrial and medicinal purposes. The diversity of the microbial world holds much promise for the future of research in chemical and biomedical engineering. However biological systems evolve, and it is undesirable for engineered or synthesized microbes to change, particularly in ways we can not control. We need to be able to anticipate how microbes evolve. Our ability to do so is greatly hampered by the diversity and complexity of the microbial world and the stochasticity that underlies natural selection.
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In this thesis, we take steps towards enabling researchers to understand the evolution of microbes in two areas: metabolic networks and gene regulation. We use a complex systems approach of developing simple models that are placed in the context of evolution. These models apply to a wide range of microbial species and enables researchers to make predictions despite the complexity of microbiology.
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School code: 0163.
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Morimoto, Richard I.,
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3456699
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