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All biology is computational biology.
1University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom.
Plos Biology
|March 10, 2017
Summary
Computational thinking is essential for understanding life, making all biology computational biology. This quantitative approach will drive the next biological synthesis, integrating mathematical and statistical methods into mainstream training.
Area of Science:
- Life sciences
- Computational biology
Background:
- Biology traditionally relies on qualitative observations.
- The increasing complexity of biological data necessitates advanced analytical tools.
Purpose of the Study:
- To assert the centrality of computational thinking in modern biological research.
- To define computational biology as an integrated discipline.
Main Methods:
- Conceptual argument for the integration of computational techniques.
- Highlighting the role of mathematical and statistical methods.
Main Results:
- Computational biology provides order, rigor, and testability to biological understanding.
- It acts as a unifying framework for diverse biological insights.
Conclusions:
- All biology is now computational biology.
- Future biological advancements will stem from the integration of computational, mathematical, and statistical methods into biological training, establishing biology as a quantitative science.
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