Book contents
- Computational Thinking for Life Scientists
- Reviews
- Computational Thinking for Life Scientists
- Copyright page
- Dedication
- Contents
- Introduction
- Part I: Programming in Python
- Part II: Sequences
- Part III: Graphs and Networks
- 5 Basic Notions in Graph Theory
- 6 Shortest Paths and Breadth First Search
- 7 Simulation of Regulatory Networks
- Part IV: Images
- Part V: Limitations of Computing
- Index
- References
7 - Simulation of Regulatory Networks
from Part III: - Graphs and Networks
Published online by Cambridge University Press: 19 August 2022
- Computational Thinking for Life Scientists
- Reviews
- Computational Thinking for Life Scientists
- Copyright page
- Dedication
- Contents
- Introduction
- Part I: Programming in Python
- Part II: Sequences
- Part III: Graphs and Networks
- 5 Basic Notions in Graph Theory
- 6 Shortest Paths and Breadth First Search
- 7 Simulation of Regulatory Networks
- Part IV: Images
- Part V: Limitations of Computing
- Index
- References
Summary
Many biological systems can be explored by computer simulation: an imitation of the behavior of the system over time, done by running a computer program. Computer simulations are also termed in-silico experiments, paraphrasing the terms in-vitro and in-vivo. Computer simulation in biology can be used to replace or complement some tedious and costly lab experiments. It enables conducting numerous “experiments” under various conditions, at a scale that is infeasible experimentally.
- Type
- Chapter
- Information
- Computational Thinking for Life Scientists , pp. 123 - 144Publisher: Cambridge University PressPrint publication year: 2022