Reflecting the latest developments, this textbook explains how quantitative and computable genotype-phenotype relationships can be built using a genome-wide basis of information about the gene portfolio of an organism. It has been developed through extensive classroom use, providing a conceptual framework in addition to invaluable modelling tools and computational approaches.
Reflecting the latest developments, this textbook explains how quantitative and computable genotype-phenotype relationships can be built using a genome-wide basis of information about the gene portfolio of an organism. It has been developed through extensive classroom use, providing a conceptual framework in addition to invaluable modelling tools and computational approaches.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bernhard O. Palsson is the Galletti Professor of Bioengineering and Professor of Pediatrics at the University of California, San Diego. For almost 30 years, his research has focused on the development of large-scale models of biological functions and their use to solve basic and applied problems in the life sciences. He has authored three previous textbooks.
Inhaltsangabe
Preface 1. Introduction Part I. Network Reconstruction: 2. Network reconstruction: the concept 3. Network reconstruction: the process 4. Metabolism in Escherichia coli 5. Prokaryotes 6. Eukaryotes 7. Biochemical reaction networks 8. Metastructures of genomes Part II. Mathematical Properties of Reconstructed Networks: 9. The stoichiometric matrix 10. Simple topological network properties 11. Fundamental network properties 12. Pathways 13. Use of pathway vectors 14. Randomized sampling Part III. Determining the Phenotypic Potential of Reconstructed Networks: 15. Dual causality 16. Functional states 17. Constraints 18. Optimization 19. Determining capabilities 20. Equivalent states 21. Distal causation Part IV. Basic and Applied Uses: 22. Environmental parameters 23. Genetic parameters 24. Analysis of omic data 25. Model driven discovery 26. Adaptive laboratory evolution 27. Model driven design Part V. Conceptual Foundations: 28. Teaching systems biology 29. Epilogue References Index.
Preface 1. Introduction Part I. Network Reconstruction: 2. Network reconstruction: the concept 3. Network reconstruction: the process 4. Metabolism in Escherichia coli 5. Prokaryotes 6. Eukaryotes 7. Biochemical reaction networks 8. Metastructures of genomes Part II. Mathematical Properties of Reconstructed Networks: 9. The stoichiometric matrix 10. Simple topological network properties 11. Fundamental network properties 12. Pathways 13. Use of pathway vectors 14. Randomized sampling Part III. Determining the Phenotypic Potential of Reconstructed Networks: 15. Dual causality 16. Functional states 17. Constraints 18. Optimization 19. Determining capabilities 20. Equivalent states 21. Distal causation Part IV. Basic and Applied Uses: 22. Environmental parameters 23. Genetic parameters 24. Analysis of omic data 25. Model driven discovery 26. Adaptive laboratory evolution 27. Model driven design Part V. Conceptual Foundations: 28. Teaching systems biology 29. Epilogue References Index.
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