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Quantitative Biology = A Practical Introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative Biology/ by Akatsuki Kimura.
Reminder of title:	A Practical Introduction /
Author:	Kimura, Akatsuki.
Description:	XII, 130 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Cytology. -
Online resource:	https://doi.org/10.1007/978-981-16-5018-5
ISBN:	9789811650185

Quantitative Biology = A Practical Introduction /
Kimura, Akatsuki.

Quantitative BiologyA Practical Introduction /[electronic resource] :by Akatsuki Kimura. - 1st ed. 2022. - XII, 130 p. 1 illus.online resource. - Learning Materials in Biosciences,2509-6133. - Learning Materials in Biosciences,1.

Chapter 1: Introduction to Quantitative Biology -- Chapter 2: Architectonics of the Cell -- Chapter 3: Mechanics of the Cell -- Chapter 4: Implementing Toy Models in Microsoft Excel -- Chapter 5: Implementing Toy Models in Python -- Chapter 6: Differential Equations to Describe Temporal Changes -- Chapter 7: Diversity of the Cell -- Chapter 8: Randomness, diffusion, and probability -- Chapter 9: Self-Organization of the Cell -- Chapter 10: Modeling feedback regulations Chapter 11: Development of the Cell over Time (Perspectives).

This textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology. It also provides step-by-step tutorials to run various sample programs in one’s personal computer using Excel and Python. This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses. It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientist who has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.

ISBN: 9789811650185

Standard No.: 10.1007/978-981-16-5018-5doiSubjects--Topical Terms:

599554
Cytology.

LC Class. No.: QH573-671

Dewey Class. No.: 571.6

Quantitative Biology = A Practical Introduction /
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520 $a This textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology. It also provides step-by-step tutorials to run various sample programs in one’s personal computer using Excel and Python. This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses. It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientist who has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.
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