語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Simple mathematical models of gene r...
~
Mackey, Michael C.
Simple mathematical models of gene regulatory dynamics[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
572.865015118
書名/作者:
Simple mathematical models of gene regulatory dynamics/ by Michael C. Mackey ... [et al.].
其他作者:
Mackey, Michael C.
出版者:
Cham : : Springer International Publishing :, 2016.
面頁冊數:
xiv, 124 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Genetic regulation - Mathematical models.
標題:
Biomedicine.
標題:
Gene Expression.
標題:
Mathematical and Computational Biology.
標題:
Systems Biology.
標題:
Applications of Mathematics.
標題:
Ordinary Differential Equations.
標題:
Probability Theory and Stochastic Processes.
ISBN:
9783319453187
ISBN:
9783319453170
內容註:
Introduction -- Part I Deterministic Modeling Techniques -- 1.Generic deterministic models of prokaryotic gene regulation -- 2.General dynamic considerations -- Part II Dealing with Noise -- 3.Master equation modeling approaches -- 4.Noise effects in gene regulation: Intrinsic versus extrinsic -- Part III Specific Examples -- 5.The lactose operon -- 6.The tryptophan operon -- 7.The Lysis-Lysogeny Switch -- Index -- References.
摘要、提要註:
This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria. As an entry point to the field, we focus on the analysis of simple gene-network dynamics. The notes commence with an introduction to the deterministic modeling of gene-networks, with extensive reference to applicable results coming from dynamical systems theory. The second part of the notes treats extensively several approaches to the study of gene-network dynamics in the presence of noise-either arising from low numbers of molecules involved, or due to noise external to the regulatory process. The third and final part of the notes gives a detailed treatment of three well studied and concrete examples of gene-network dynamics by considering the lactose operon, the tryptophan operon, and the lysis-lysogeny switch. The notes contain an index for easy location of particular topics as well as an extensive bibliography of the current literature. The target audience of these notes are mainly graduates students and young researchers with a solid mathematical background (calculus, ordinary differential equations, and probability theory at a minimum), as well as with basic notions of biochemistry, cell biology, and molecular biology. They are meant to serve as a readable and brief entry point into a field that is currently highly active, and will allow the reader to grasp the current state of research and so prepare them for defining and tackling new research problems.
電子資源:
http://dx.doi.org/10.1007/978-3-319-45318-7
Simple mathematical models of gene regulatory dynamics[electronic resource] /
Simple mathematical models of gene regulatory dynamics
[electronic resource] /by Michael C. Mackey ... [et al.]. - Cham :Springer International Publishing :2016. - xiv, 124 p. :ill., digital ;24 cm. - Lecture notes on mathematical modelling in the life sciences,2193-4789. - Lecture notes on mathematical modelling in the life sciences..
Introduction -- Part I Deterministic Modeling Techniques -- 1.Generic deterministic models of prokaryotic gene regulation -- 2.General dynamic considerations -- Part II Dealing with Noise -- 3.Master equation modeling approaches -- 4.Noise effects in gene regulation: Intrinsic versus extrinsic -- Part III Specific Examples -- 5.The lactose operon -- 6.The tryptophan operon -- 7.The Lysis-Lysogeny Switch -- Index -- References.
This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria. As an entry point to the field, we focus on the analysis of simple gene-network dynamics. The notes commence with an introduction to the deterministic modeling of gene-networks, with extensive reference to applicable results coming from dynamical systems theory. The second part of the notes treats extensively several approaches to the study of gene-network dynamics in the presence of noise-either arising from low numbers of molecules involved, or due to noise external to the regulatory process. The third and final part of the notes gives a detailed treatment of three well studied and concrete examples of gene-network dynamics by considering the lactose operon, the tryptophan operon, and the lysis-lysogeny switch. The notes contain an index for easy location of particular topics as well as an extensive bibliography of the current literature. The target audience of these notes are mainly graduates students and young researchers with a solid mathematical background (calculus, ordinary differential equations, and probability theory at a minimum), as well as with basic notions of biochemistry, cell biology, and molecular biology. They are meant to serve as a readable and brief entry point into a field that is currently highly active, and will allow the reader to grasp the current state of research and so prepare them for defining and tackling new research problems.
ISBN: 9783319453187
Standard No.: 10.1007/978-3-319-45318-7doiSubjects--Topical Terms:
665331
Genetic regulation
--Mathematical models.
LC Class. No.: QH450
Dewey Class. No.: 572.865015118
Simple mathematical models of gene regulatory dynamics[electronic resource] /
LDR
:03006nam a2200337 a 4500
001
476692
003
DE-He213
005
20161110141319.0
006
m d
007
cr nn 008maaau
008
181208s2016 gw s 0 eng d
020
$a
9783319453187
$q
(electronic bk.)
020
$a
9783319453170
$q
(paper)
024
7
$a
10.1007/978-3-319-45318-7
$2
doi
035
$a
978-3-319-45318-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QH450
072
7
$a
MFN
$2
bicssc
072
7
$a
MED107000
$2
bisacsh
072
7
$a
SCI029000
$2
bisacsh
082
0 4
$a
572.865015118
$2
23
090
$a
QH450
$b
.S612 2016
245
0 0
$a
Simple mathematical models of gene regulatory dynamics
$h
[electronic resource] /
$c
by Michael C. Mackey ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xiv, 124 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes on mathematical modelling in the life sciences,
$x
2193-4789
505
0
$a
Introduction -- Part I Deterministic Modeling Techniques -- 1.Generic deterministic models of prokaryotic gene regulation -- 2.General dynamic considerations -- Part II Dealing with Noise -- 3.Master equation modeling approaches -- 4.Noise effects in gene regulation: Intrinsic versus extrinsic -- Part III Specific Examples -- 5.The lactose operon -- 6.The tryptophan operon -- 7.The Lysis-Lysogeny Switch -- Index -- References.
520
$a
This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria. As an entry point to the field, we focus on the analysis of simple gene-network dynamics. The notes commence with an introduction to the deterministic modeling of gene-networks, with extensive reference to applicable results coming from dynamical systems theory. The second part of the notes treats extensively several approaches to the study of gene-network dynamics in the presence of noise-either arising from low numbers of molecules involved, or due to noise external to the regulatory process. The third and final part of the notes gives a detailed treatment of three well studied and concrete examples of gene-network dynamics by considering the lactose operon, the tryptophan operon, and the lysis-lysogeny switch. The notes contain an index for easy location of particular topics as well as an extensive bibliography of the current literature. The target audience of these notes are mainly graduates students and young researchers with a solid mathematical background (calculus, ordinary differential equations, and probability theory at a minimum), as well as with basic notions of biochemistry, cell biology, and molecular biology. They are meant to serve as a readable and brief entry point into a field that is currently highly active, and will allow the reader to grasp the current state of research and so prepare them for defining and tackling new research problems.
650
0
$a
Genetic regulation
$x
Mathematical models.
$3
665331
650
1 4
$a
Biomedicine.
$3
463454
650
2 4
$a
Gene Expression.
$3
336515
650
2 4
$a
Mathematical and Computational Biology.
$3
465124
650
2 4
$a
Systems Biology.
$3
427854
650
2 4
$a
Applications of Mathematics.
$3
463820
650
2 4
$a
Ordinary Differential Equations.
$3
465742
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
463894
700
1
$a
Mackey, Michael C.
$3
687663
710
2
$a
SpringerLink (Online service)
$3
463450
773
0
$t
Springer eBooks
830
0
$a
Lecture notes on mathematical modelling in the life sciences.
$3
590202
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-45318-7
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-45318-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入