Cover image for Systems Bioinformatics : An Engineering Case-based Approach.
Systems Bioinformatics : An Engineering Case-based Approach.
Title:
Systems Bioinformatics : An Engineering Case-based Approach.
Author:
Alterovitz, Gil.
ISBN:
9781596931251
Personal Author:
Physical Description:
1 online resource (404 pages)
Contents:
Contents -- Preface -- Part I Introduction: Molecular and Cellular Biology -- Chapter 1 Molecular and Cellular Biology: An Engineering Perspective -- 1.1 Cellular Structures and Functions -- 1.2 Introduction to Information Handling in Cells -- 1.3 The Importance and Diversity of Proteins -- 1.4 DNA Replication: Copying the Code -- 1.5 Transcription: Sending a Messenger -- 1.6 Translation: Protein Synthesis -- 1.7 Control of Gene Expression -- 1.8 Genetic Engineering -- 1.9 Summary -- Acknowledgments -- References -- Chapter 2 Proteomics: From Genome to Proteome -- 2.1 Defining the Proteome -- 2.2 Building Gene Collections for Functional Proteomics Approaches -- 2.3 Use of Clones in Functional Proteomics Approaches -- References -- Part II Analysis: Signal Processing -- Chapter 3 Introduction to Biological Signal Processing at the Cell Level -- 3.1 Introduction to Fundamental Signal Processing Concepts -- 3.2 Signal Detection and Estimation -- 3.3 System Identification and Analysis -- 3.4 Conclusion -- Acknowledgments -- References -- Chapter 4 Signal Processing Methods for Mass Spectrometry -- 4.1 Introduction -- 4.2 Signal Resampling -- 4.3 Correcting the Background -- 4.4 Aligning Mass/Charge Values -- 4.5 Normalizing Relative Intensity -- 4.6 Smoothing Noise -- 4.7 Identifying Ion Peaks -- References -- Part III Analysis: Control and Systems -- Chapter 5 Control and Systems Fundamentals -- 5.1 Introduction -- 5.2 Review of Fundamental Concepts in Control and Systems Theory -- 5.3 Control Theory in Systems Biology -- 5.4 Reverse Engineering Cellular Networks -- 5.5 Gene Networks -- 5.6 Conclusion -- Acknowledgments -- References -- Chapter 6 Modeling Cellular Networks -- 6.1 Introduction -- 6.2 Construction and Analysis of Kinetic Models -- 6.3 Case Studies -- 6.4 Conclusion -- References.

Part IV Analysis: Probabilistic Data Networks and Communications -- Chapter 7 Topological Analysis of Biomolecular Networks -- 7.1 Cellular Networks -- 7.2 Topology of Cellular Networks -- 7.3 Gene Ontology and Functional Clustering of Essential Genes -- 7.4 Conclusion and Future Avenues -- References -- Chapter 8 Bayesian Networks for Genetic Analysis -- 8.1 Introduction -- 8.2 Elements of Population Genetics -- 8.3 Bayesian Networks -- 8.4 Two Applications -- 8.5 Conclusion -- Acknowledgments -- References -- Part V Design: Synthetic Biology -- Chapter 9 Fundamentals of Design for Synthetic Biology -- 9.1 Overview -- 9.2 Circuits -- 9.3 Multicellular Systems -- 9.4 Challenges -- 9.5 Conclusion -- References -- Chapter 10 BioJADE: Designing and Building Synthetic Biological Systems from Parts -- 10.1 Introduction -- 10.2 Fundamentals of BioJADE and BioBricks Construction -- 10.3 Representing Parts -- 10.4 BioJADE Architecture -- 10.5 Using BioJADE, an Example: The Repressilator -- 10.6 Simulations -- 10.7 The Reality Check -- 10.8 Next Steps -- Acknowledgments -- References -- Chapter 11 Applied Cellular Engineering -- 11.1 Introduction -- 11.2 Engineering Tools -- 11.3 Case Study: Production of 1,3-Propanediol in E. coli -- 11.4 Frontiers -- 11.5 Conclusion -- References -- Part VI Integration: Applying Biology's Designs and Principles in Engineering -- Chapter 12 The Three Faces of DNA/RNA Sequence Hybridization -- 12.1 Introduction -- 12.2 A Short Introduction to DNA/RNA Sequence Hybridization and Self-Hybridization -- 12.3 DNA/RNA Sequence Hybridization: A Biological Point of View -- 12.4 DNA/RNA Sequence Hybridization: A Technological Point of View -- 12.5 DNA/RNA Sequence Hybridization: A Coding-Theoretic Point of View -- 12.6 Conclusion -- References -- Chapter 13 Application of Biomolecular Computing to Breakthroughs in Cryptography.

13.1 Introduction -- 13.2 Introduction of DNA Background -- 13.3 Factoring the Product of Two Large Prime Numbers -- 13.4 Conclusion -- References -- Chapter 14 Chemotaxis: Learning Navigation and Source Localization Strategies from Biology's Engineered Designs -- 14.1 Introduction -- 14.2 Bacterial Chemotaxis Principles -- 14.3 Mathematical Description of a Random Walk -- 14.4 Chemotaxis-Based Algorithms for Diffusive Environments -- 14.5 Performance Comparison of the Chemotaxis Algorithms -- 14.6 Summary -- References -- Systems Bioinformatics: Trends and Conclusions -- Appendix Contributing Authors and Contact Information -- About the Editors -- Index.
Abstract:
Powerful engineering tools can help solve today's complex biological and biomedical research challenges - and this first-of-its-kind guide is paving the way . This trail-blazing work gives engineers a quantitative systems approach to bioinformatics research using computational tools drawn from technical disciplines. It presents biological processes in an engineering context to help engineers use their technical skills in solving novel biological problems and also to facilitate reverse engineering from biology in developing synthetic biological devices.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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