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.