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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Concepts
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- Bernie J. Daigle Jr, Balaji S. Srinivasan, Jason A. Flannick, Antal F. Novak, Serafim Batzoglou
Pages 13-73
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- Rebecca A. Sealfon, Stuart C. Sealfon
Pages 75-83
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- Mikhail Dozmorov, Robert E. Hurst
Pages 85-107
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Modeling and Reconstruction
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Front Matter
Pages 109-109
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- Eva Balsa-Canto, Julio R. Banga
Pages 111-137
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- Andreas Dräger, Adrian Schröder, Andreas Zell
Pages 159-205
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- Julio Vera, Svetoslav Nikolov, Olaf Wolkenhauer
Pages 207-234
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- Mutlu Mete, Fusheng Tang, Xiaowei Xu, Nurcan Yuruk
Pages 253-273
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- Sašo Džeroski, Ljupčo Todorovski
Pages 275-294
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- Tomáš Helikar, Naomi Kochi, John Konvalina, Jim A. Rogers
Pages 295-336
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- Daniel W. Franks, Graeme D. Ruxton
Pages 337-351
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- Tobias Müller, Marcus Dittrich
Pages 353-369
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- Josselin Noirel, Guido Sanguinetti, Phillip C. Wright
Pages 371-397
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- Xiaoyu Jiang, Eric D. Kolaczyk
Pages 399-426
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Applications for Signaling Networks
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Front Matter
Pages 427-427
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
