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Systems Biology.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nielsen, Jens
Otros Autores: Hohmann, Stefan
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2017.
Colección:Advanced Biotechnology Ser.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Nielsen, Jens. 
245 1 0 |a Systems Biology. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2017. 
300 |a 1 online resource (512 pages) 
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490 1 |a Advanced Biotechnology Ser. 
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505 0 |6 880-01  |a Related Titles; Title Page; Copyright; Table of Contents; List of Contributors; About the Series Editors; Chapter 1: Integrative Analysis of Omics Data; Summary; 1.1 Introduction; 1.2 Omics Data and Their Measurement Platforms; 1.3 Data Processing: Quality Assessment, Quantification, Normalization, and Statistical Analysis; 1.4 Data Integration: From a List of Genes to Biological Meaning; 1.5 Outlook and Perspectives; References; Chapter 2: 13C Flux Analysis in Biotechnology and Medicine; 2.1 Introduction; 2.2 Theoretical Foundations of 13C MFA; 2.3 Metabolic Flux Analysis in Biotechnology. 
505 8 |a 2.4 Metabolic Flux Analysis in Medicine2.5 Emerging Challenges for 13C MFA; 2.6 Conclusion; Acknowledgments; Disclosure; References; Chapter 3: Metabolic Modeling for Design of Cell Factories; Summary; 3.1 Introduction; 3.2 Building and Refining Genome-Scale Metabolic Models; 3.3 Strain Design Algorithms; 3.4 Case Studies; 3.5 Conclusions; Acknowledgments; References; Chapter 4: Genome-Scale Metabolic Modeling and In silico Strain Design of Escherichia coli; 4.1 Introduction; 4.2 The COBRA Approach; 4.3 History of E. coli Metabolic Modeling. 
505 8 |a 4.4 In silico Model-Based Strain Design of E. coli Cell Factories4.5 Future Directions of Model-Guided Strain Design in E. coli; References; Chapter 5: Accelerating the Drug Development Pipeline with Genome-Scale Metabolic Network Reconstructions; Summary; 5.1 Introduction; 5.2 Metabolic Reconstructions in the Drug Development Pipeline; 5.3 Species-Level Microbial Reconstructions; 5.4 The Human Reconstruction; 5.5 Community Models; 5.6 Personalized Medicine; 5.7 Conclusion; References; Chapter 6: Computational Modeling of Microbial Communities; Summary; 6.1 Introduction; 6.2 Ecological Models. 
505 8 |a 6.3 Genome-Scale Metabolic Models6.4 Concluding Remarks; References; Chapter 7: Drug Targeting of the Human Microbiome; Summary; 7.1 Introduction; 7.2 The Human Microbiome; 7.3 Association of the Human Microbiome with Human Diseases; 7.4 Drug Targeting of the Human Microbiome; 7.5 Future Perspectives; 7.6 Concluding Remarks; Acknowledgments; References; Chapter 8: Toward Genome-Scale Models of Signal Transduction Networks; 8.1 Introduction; 8.2 The Potential of Network Reconstruction; 8.3 Information Transfer Networks; 8.4 Approaches to Reconstruction of ITNs; 8.5 The rxncon Approach to ITNWR. 
500 |a 11.2 Single-Cell Measurement Techniques. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Systems biology. 
650 0 |a Bioinformatics. 
650 0 |a Computational biology. 
650 6 |a Biologie systémique. 
650 6 |a Bio-informatique. 
650 7 |a Computational biology  |2 fast 
650 7 |a Bioinformatics  |2 fast 
650 7 |a Systems biology  |2 fast 
700 1 |a Hohmann, Stefan. 
776 0 8 |i Print version:  |a Nielsen, Jens.  |t Systems Biology.  |d Newark : John Wiley & Sons, Incorporated, ©2017  |z 9783527335589 
830 0 |a Advanced Biotechnology Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4826406  |z Texto completo 
880 8 |6 505-01/(S  |a 8.6 Toward Quantitative Analysis and Modeling of Large ITNs8.7 Conclusion and Outlook; Acknowledgments; References; Chapter 9: Systems Biology of Aging; Summary; 9.1 Introduction; 9.2 The Biology of Aging; 9.3 The Mathematics of Aging; 9.4 Future Challenges; Conflict of Interest; References; Chapter 10: Modeling the Dynamics of the Immune Response; 10.1 Background; 10.2 Dynamics of NF-κB Signaling; 10.3 JAK/STAT Signaling; 10.4 Conclusions; Acknowledgments; References; Chapter 11: Dynamics of Signal Transduction in Single Cells Quantified by Microscopy; 11.1 Introduction. 
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