語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
How dynamic networks animate living ...
~
University of Washington.
FindBook
Google Book
Amazon
博客來
How dynamic networks animate living embryos.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
How dynamic networks animate living embryos./
作者:
von Dassow, George Robert Hartmann.
面頁冊數:
290 p.
附註:
Chair: Garrett M. Odell.
Contained By:
Dissertation Abstracts International61-08B.
標題:
Biology, Cell. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9983560
ISBN:
9780599895959
How dynamic networks animate living embryos.
von Dassow, George Robert Hartmann.
How dynamic networks animate living embryos.
- 290 p.
Chair: Garrett M. Odell.
Thesis (Ph.D.)--University of Washington, 2000.
Thousands of gene products, interacting in dynamic networks, animate each living cell. Modern biology aims to comprehend mechanistically how such gene networks function, both during development and to maintain the differentiated state. Furthermore, it is a truism that morphological evolution results from heritable variation in developmental processes. For over a century biologists have employed the often-abstract notion of "developmental mechanisms": to evolutionary biologists, the developmental mechanism has been a black box transmuting genetic variation into phenotypic effects; to embryologists it has been an elusive entity characterized by its effects on form and responses to experimental perturbations; to geneticists, it has been a building not yet built. Only in the last two decades have real developmental mechanisms come to light, largely from developmental genetic study of model organisms, and the concept now finds grounding in the few well-studied cases in which decades of effort have culminated in nearly complete maps of entire genetic devices. However, even relatively simple, modular gene networks turn out to be so complex as to defy human intuition. Genome projects, DNA microarrays, and other experimental techniques promise to accelerate greatly the revelation of genetic networks. The imminent embarrassment of riches will confront biologists with the task of synthesizing vast bodies of experimental results, and the daunting task of comprehending gene networks consisting of dozens to hundreds of components. To make any sense of such complexity, biologists will need theoretical and computer tools as essential aids, not just for conceptual progress, but to guide experiments. This work describes the derivation and analysis of a family of computer simulation models of the segment polarity gene network from Drosophila. This is a pilot study using a general-purpose toolkit of mathematical methods and computer software, developed by the author and colleagues, for enabling the construction of highly-realistic, standardized simulations of gene network dynamics. Here I show that this approach yields not only specific, testable predictions about the genetic system being modeled, but also predicts systems-level properties of gene networks that could not have been anticipated from a mere list of parts and their interactions.
ISBN: 9780599895959Subjects--Topical Terms:
1017686
Biology, Cell.
How dynamic networks animate living embryos.
LDR
:03235nam 2200289 a 45
001
858072
005
20100712
008
100712s2000 ||||||||||||||||| ||eng d
020
$a
9780599895959
035
$a
(UMI)AAI9983560
035
$a
AAI9983560
040
$a
UMI
$c
UMI
100
1
$a
von Dassow, George Robert Hartmann.
$3
1025099
245
1 0
$a
How dynamic networks animate living embryos.
300
$a
290 p.
500
$a
Chair: Garrett M. Odell.
500
$a
Source: Dissertation Abstracts International, Volume: 61-08, Section: B, page: 3953.
502
$a
Thesis (Ph.D.)--University of Washington, 2000.
520
$a
Thousands of gene products, interacting in dynamic networks, animate each living cell. Modern biology aims to comprehend mechanistically how such gene networks function, both during development and to maintain the differentiated state. Furthermore, it is a truism that morphological evolution results from heritable variation in developmental processes. For over a century biologists have employed the often-abstract notion of "developmental mechanisms": to evolutionary biologists, the developmental mechanism has been a black box transmuting genetic variation into phenotypic effects; to embryologists it has been an elusive entity characterized by its effects on form and responses to experimental perturbations; to geneticists, it has been a building not yet built. Only in the last two decades have real developmental mechanisms come to light, largely from developmental genetic study of model organisms, and the concept now finds grounding in the few well-studied cases in which decades of effort have culminated in nearly complete maps of entire genetic devices. However, even relatively simple, modular gene networks turn out to be so complex as to defy human intuition. Genome projects, DNA microarrays, and other experimental techniques promise to accelerate greatly the revelation of genetic networks. The imminent embarrassment of riches will confront biologists with the task of synthesizing vast bodies of experimental results, and the daunting task of comprehending gene networks consisting of dozens to hundreds of components. To make any sense of such complexity, biologists will need theoretical and computer tools as essential aids, not just for conceptual progress, but to guide experiments. This work describes the derivation and analysis of a family of computer simulation models of the segment polarity gene network from Drosophila. This is a pilot study using a general-purpose toolkit of mathematical methods and computer software, developed by the author and colleagues, for enabling the construction of highly-realistic, standardized simulations of gene network dynamics. Here I show that this approach yields not only specific, testable predictions about the genetic system being modeled, but also predicts systems-level properties of gene networks that could not have been anticipated from a mere list of parts and their interactions.
590
$a
School code: 0250.
650
4
$a
Biology, Cell.
$3
1017686
650
4
$a
Biology, Molecular.
$3
1017719
650
4
$a
Biology, Zoology.
$3
1018632
690
$a
0307
690
$a
0379
690
$a
0472
710
2
$a
University of Washington.
$3
545923
773
0
$t
Dissertation Abstracts International
$g
61-08B.
790
$a
0250
790
1 0
$a
Odell, Garrett M.,
$e
advisor
791
$a
Ph.D.
792
$a
2000
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9983560
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9072948
電子資源
11.線上閱覽_V
電子書
EB W9072948
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入