Overview
- Editors:
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Sangdun Choi
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College of Natural Science, Dept. Biological Science, Department of Molecular Science and Tech, Suwon, Korea, Republic of (South Korea)
- Systems Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc.
- Systems Biology not only to addresses key questions that are not answerable by individual fields alone, but also helps in our understanding of the complexities of biological systems.
- The distinctive features of this book serve as a platform to highlight the pioneering work done by scientists.
- Includes supplementary material: sn.pub/extras
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Table of contents (35 chapters)
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Applications for Signaling Networks
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- Masaaki Oyama, Shinya Tasaki, Hiroko Kozuka-Hata
Pages 447-454
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- Melissa Muller, Prahlad T. Ram
Pages 455-489
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- Jijun Hao, Marie A. Daleo, Charles C. Hong
Pages 505-529
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- David J. Lynn, Jennifer L. Gardy, Christopher D. Fjell, Robert E.W. Hancock, Fiona S.L. Brinkman
Pages 531-560
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- Claire Rutherford, Timothy M. Palmer
Pages 561-587
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- Liang-Hui Chu, Bor-Sen Chen
Pages 589-610
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- Jeremy A. Miller, Daniel H. Geschwind
Pages 611-643
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- Ancha Baranova, Aybike Birerdinc, Michael Estep, Zobair M. Younossi
Pages 645-686
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- Michael D. Sinzinger, Roland Brock
Pages 703-718
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Tools for Systems Biology
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Front Matter
Pages 719-719
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- Florian Erhard, Caroline C. Friedel, Ralf Zimmer
Pages 751-775
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- Lorenzo Dematté, Roberto Larcher, Alida Palmisano, Corrado Priami, Alessandro Romanel
Pages 777-820
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- Ina Koch, Claudine Chaouiya
Pages 821-855
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- Jake Yue Chen, Tianxiao Huan
Pages 857-875
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- Igor Šegota, Petar Glažar, Kristian Vlahoviček
Pages 877-888
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Erratum to: Functional Modules in Protein–Protein Interaction Networks
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- Tobias Müller, Marcus Dittrich
Pages E1-E1
About this book
System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signaling pathways into human and computer readable network maps. These maps can then be used to classify and study individual components involved in a particular phenomenon. Apart from transcriptomics, several individual gene studies have resulted in adding to our knowledge of key components that are involved in a signaling pathway. It therefore becomes imperative to take into account of these studies also, while constructing our network maps to highlight the interconnectedness of the entire signaling pathways and the role of that particular individual protein in the pathway. This collection of articles will contain a collection of pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data. The distinctive features of this book would be: Act a single source of information to understand the various components of different signaling network (roadmap of biochemical pathways, the nature of a molecule of interest in a particular pathway, etc.), Serve as a platform to highlight the key findings in this highly volatile and evolving field, and Provide answers to various techniques both related to microarray and cell signaling to the readers.
Editors and Affiliations
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College of Natural Science, Dept. Biological Science, Department of Molecular Science and Tech, Suwon, Korea, Republic of (South Korea)
Sangdun Choi