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Computational systems biology[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	570/.1/13
書名/作者:	Computational systems biology/ edited by Andres Kriete, Roland Eils.
其他作者:	Eils, Roland.
出版者:	Amsterdam ; : Elsevier,, c2006.
面頁冊數:	x, 409 p. : : ill. (some col.) ;; 24 cm.
標題:	Biological systems - Computer simulation.
標題:	Computational Biology.
標題:	Systems Biology.
ISBN:	9780120887866
ISBN:	012088786X
書目註:	Includes bibliographical references and index.
內容註:	I. Enabling Information and Integration Technologies for Systems Biology -- II. Foundations of Biochemical Network Analysis and Modeling -- III. Computer Simulations of Dynamic Networks -- IV. Multi-Scale Representations of Cells and Emerging Phenotypes.
摘要、提要註:	Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.
電子資源:	An electronic book accessible through the World Wide Web; click for information

Computational systems biology[electronic resource] /
Computational systems biology[electronic resource] /edited by Andres Kriete, Roland Eils. - Amsterdam ;Elsevier,c2006. - x, 409 p. :ill. (some col.) ;24 cm.

Includes bibliographical references and index.

I. Enabling Information and Integration Technologies for Systems Biology -- II. Foundations of Biochemical Network Analysis and Modeling -- III. Computer Simulations of Dynamic Networks -- IV. Multi-Scale Representations of Cells and Emerging Phenotypes.

Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780120887866

Source: 112282:112370Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

427853
Biological systems
--Computer simulation.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QH324.2 / .C638 2006eb

Dewey Class. No.: 570/.1/13

Computational systems biology[electronic resource] /
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245 0 0 $a Computational systems biology $h [electronic resource] / $c edited by Andres Kriete, Roland Eils.
260 $a Amsterdam ; $a Boston : $b Elsevier, $c c2006.
300 $a x, 409 p. : $b ill. (some col.) ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a I. Enabling Information and Integration Technologies for Systems Biology -- II. Foundations of Biochemical Network Analysis and Modeling -- III. Computer Simulations of Dynamic Networks -- IV. Multi-Scale Representations of Cells and Emerging Phenotypes.
505 0 $a Introducing computational systems biology / Andres Kriete and Roland Eils -- Enabling information and integration technologies for systems biology. Databases for systems biology / J�urgen Eils ... [et al.] -- Natural language processing and ontology-enhanced biomedical literature mining for systems biology / Xiaohua Hu -- Integrated imaging informatics / Barham Parvin ... [et al.] -- Simpathica : a computational systems biology tool within the valis bioinformatics environment / Bud mishra ... [et al.] -- Standards, platforms, and applications / Herbert M. Sauro -- Foundations of biochemical network analysis and modeling. Introduction to computational models of biochemical reaction networks / F.J. Bruggeman ... [et al.] -- Biological foundations of signal transduction and the systems biology perspective / Ursula Klingm�uller -- Reconstruction of metabolic network from genome information and its structural and functional analysis / Hong-Wu Ma and An-Ping Zeng -- Integrated regulatory and metabolic models / Markus W. Covert -- Computer simulations of dynamic networks. A discrete approach to network modeling / Reinhard Laubenbacher and Pedro Mendes -- Gene networks : estimation, modeling and simulation / Seiya Imoto, Hiroshi Matsuno, and Satoru Miyano -- Computational models for circadian rhythms : deterministic versus stochastic approaches / Jean-Christophe Leloup, Didier Gonze, and Albert Goldbeter -- Multi-scale representations of cells and emerging phenotypes. Multistability and multicellularity : cell fates as high-dimensional attractors of gene regulatory networks / Sui Huang -- Spatio-temporal systems biology / Avijit ghosh ... [et al.] -- Cytomics--from cell states to predictive medicine / G�unter Valet ... [et al.] -- The IUPS Physiome Project : progress and plans / Peter Hunter ... [et al.].
520 $a Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Aug. 2, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Biological systems $x Computer simulation. $3 427853
650 1 2 $a Computational Biology. $3 336579
650 2 2 $a Systems Biology. $3 427854
655 4 $a Electronic books. $2 local $3 336502
700 1 $a Eils, Roland. $3 427852
700 1 $a Kriete, Andres. $3 427851
710 2 $a ScienceDirect (Online service) $3 365609
776 1 $c Original $z 012088786X $z 9780120887866 $w (DLC) 2005020831 $w (OCoLC)65204762
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780120887866 $z An electronic book accessible through the World Wide Web; click for information
994 $a C0 $b TEF