Mathematical modeling for genes to collective cell dynamics / Tetsuji Tokihiro, editor.
Tokihiro, Tetsuji, editor.
2021
QH581.2
Available Online

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Title
Mathematical modeling for genes to collective cell dynamics / Tetsuji Tokihiro, editor.
ISBN
9789811671326 (electronic bk.)
981167132X (electronic bk.)
9811671311
9789811671319
DOI
https://doi.org/10.1007/978-981-16-7132-6
Publication Details
Singapore : Springer, 2021.
Language
English
Description
1 online resource (179 pages)
Item Number
10.1007/978-981-16-7132-6 doi
Call Number
QH581.2
Dewey Decimal Classification
571.6015118
Summary
This book describes the dynamics of biological cells and their mathematical modeling. The topics cover the dynamics of RNA polymerases in transcription, construction of vascular networks in angiogenesis, and synchronization of cardiomyocytes. Statistical analysis of single cell dynamics and classification of proteins by mathematical modeling are also presented. The book provides the most up-to-date information on both experimental results and mathematical models that can be used to analyze cellular dynamics. Novel experimental results and approaches to understand them will be appealing to the readers. Each chapter contains 1) an introductory description of the phenomenon, 2) explanations about the mathematical technique to analyze it, 3) new experimental results, 4) mathematical modeling and its application to the phenomenon. Elementary introductions for the biological phenomenon and mathematical approach to them are especially useful for beginners. The importance of collaboration between mathematics and biological sciences has been increasing and providing new outcomes. This book gives good examples of the fruitful collaboration between mathematics and biological sciences.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 10, 2022).
Added Author
Tokihiro, Tetsuji, editor.
Series
Theoretical biology (Singapore)
Available in Other Form
Mathematical Modeling for Genes to Collective Cell Dynamics.
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Chapter 1) Transcription Dynamics: Cellular Automaton Model of Polymerase Dynamics for Eukaryotes
Chapter 2) Angiogenesis: Dynamics of Endothelial Cells in Sprouting and Bifurcation
Chapter 3) Synchronization and Fluctuation of Cardiac Muscle Cells
Chapter 4) Statistical Analysis of Cellular Directional Movement: Application for Research of Single Cell Movement
Chapter 5) Protein Structures.

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