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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.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling of gene regulation and metabolism in microbial organisms./
作者:	Seaver, Samuel M. D.
面頁冊數:	148 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-08, Section: B, page: .
Contained By:	Dissertation Abstracts International72-08B.
標題:	Biology, Bioinformatics. -
電子資源:	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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100 1 $a Seaver, Samuel M. D. $3 1682326
245 1 0 $a Modeling of gene regulation and metabolism in microbial organisms.
300 $a 148 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-08, Section: B, page: .
500 $a Advisers: Luis A. N. Amaral; Richard I. Morimoto.
502 $a Thesis (Ph.D.)--Northwestern University, 2011.
520 $a 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.
520 $a 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.
590 $a School code: 0163.
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0715
710 2 $a Northwestern University. $b Interdepartmental Biological Sciences Program. $3 1020958
773 0 $t Dissertation Abstracts International $g 72-08B.
790 1 0 $a Amaral, Luis A. N., $e advisor
790 1 0 $a Morimoto, Richard I., $e advisor
790 1 0 $a Brickner, Jason $e committee member
790 1 0 $a Widom, Jonathon $e committee member
790 $a 0163
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3456699