Systems biology: constraint-based reconstruction and analysis
Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematica...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 TUM01 UBM01 UER01 Volltext |
| Zusammenfassung: | Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 12 Feb 2016) |
| Beschreibung: | 1 Online-Ressource (xviii, 531 Seiten) |
| ISBN: | 9781139854610 |
| DOI: | 10.1017/CBO9781139854610 |
Internformat
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| 520 | |a Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches | ||
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Datensatz im Suchindex
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| dewey-full | 571.7 |
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| dewey-ones | 571 - Physiology & related subjects |
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| dewey-tens | 570 - Biology |
| discipline | Biologie Informatik Mathematik Medizin |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:28:24Z |
| institution | BVB |
| isbn | 9781139854610 |
| language | English |
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| physical | 1 Online-Ressource (xviii, 531 Seiten) |
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| spelling | Palsson, Bernhard O. 1957- Verfasser (DE-588)1070383511 aut Systems biology constraint-based reconstruction and analysis Bernhard O. Palsson Cambridge Cambridge University Press 2015 1 Online-Ressource (xviii, 531 Seiten) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 12 Feb 2016) Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches Models, Biological Systems Biology Systembiologie (DE-588)4809615-5 gnd rswk-swf Systembiologie (DE-588)4809615-5 s DE-604 Erscheint auch als Druckausgabe 978-1-107-03885-1 https://doi.org/10.1017/CBO9781139854610 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Palsson, Bernhard O. 1957- Systems biology constraint-based reconstruction and analysis Models, Biological Systems Biology Systembiologie (DE-588)4809615-5 gnd |
| subject_GND | (DE-588)4809615-5 |
| title | Systems biology constraint-based reconstruction and analysis |
| title_auth | Systems biology constraint-based reconstruction and analysis |
| title_exact_search | Systems biology constraint-based reconstruction and analysis |
| title_full | Systems biology constraint-based reconstruction and analysis Bernhard O. Palsson |
| title_fullStr | Systems biology constraint-based reconstruction and analysis Bernhard O. Palsson |
| title_full_unstemmed | Systems biology constraint-based reconstruction and analysis Bernhard O. Palsson |
| title_short | Systems biology |
| title_sort | systems biology constraint based reconstruction and analysis |
| title_sub | constraint-based reconstruction and analysis |
| topic | Models, Biological Systems Biology Systembiologie (DE-588)4809615-5 gnd |
| topic_facet | Models, Biological Systems Biology Systembiologie |
| url | https://doi.org/10.1017/CBO9781139854610 |
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