Skip to main content
  • Textbook
  • © 2022

Quantitative Biology

A Practical Introduction

Authors:

  • Enables biologists with no background in quantitative biology to take the first step in the field
  • Focuses on practical concepts and techniques for everyday research
  • Provides step-by-step tutorials to run supplementary sample programs

Part of the book series: Learning Materials in Biosciences (LMB)

Buy it now

Buying options

eBook USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xii
  2. Introduction to Quantitative Biology

    • Akatsuki Kimura
    Pages 1-10
  3. Cell Architectonics

    • Akatsuki Kimura
    Pages 11-15
  4. Mechanics of the Cell

    • Akatsuki Kimura
    Pages 17-27
  5. Implementing Toy Models in Microsoft Excel

    • Akatsuki Kimura
    Pages 29-49
  6. Implementing Toy Models in Python

    • Akatsuki Kimura
    Pages 51-60
  7. Diversity of the Cell

    • Akatsuki Kimura
    Pages 75-83
  8. Randomness, Diffusion, and Probability

    • Akatsuki Kimura
    Pages 85-99
  9. Self-Organization of the Cell

    • Akatsuki Kimura
    Pages 101-107
  10. Modeling Feedback Regulations

    • Akatsuki Kimura
    Pages 109-122
  11. Development of the Cell over Time (Perspectives)

    • Akatsuki Kimura
    Pages 123-127
  12. Back Matter

    Pages 129-130

About this book

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 scientistwho 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.


Authors and Affiliations

  • National Institute of Genetics, and The Graduate University for Advanced Studies (SOKENDAI), Mishima, Japan

    Akatsuki Kimura

About the author

Akatsuki Kimura is a Professor at National Institute of Genetics and The Graduate University for Advanced Studies (SOKENDAI), Japan. He earned his Bachelor under the supervision of Dr. Masayuki Yamamoto, and his PhD under the supervision of Dr. Masami Horikoshi, in Biophysics and Biochemistry from the University of Tokyo. After completing his PhD, Kimura joined the field of quantitative biology as an assistant professor at Keio University and a JSPS (Japan Society for the Promotion of Science) fellow under the supervision of Dr. Shuichi Onami. In 2006, Kimura launched his research group, Cell Architecture Laboratory, at National Institute of Genetics as an Associate Professor. He was also appointed at The Graduate University for Advanced Studies (SOKENDAI). His research interest is to construct mechanical models of the cell, to understand the mechanics, diversity, and self-organization of the cell.

Bibliographic Information

Buy it now

Buying options

eBook USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access