The Ontology of Physics for Biology 1st Edition

The Ontology of Physics for Biology — 1st Edition by Daniel L. Cook; John H. Gennari; Maxwell L. Neal presents a rigorous, accessible bridge between physical theory and biological modeling. This seminal work clarifies how formal ontologies can represent physical processes in living systems, enabling clearer communication, reproducible models, and interoperable datasets across computational biology and systems biology.

Explore a structured framework that links mechanics, thermodynamics, and dynamics to biological concepts using precise knowledge representation. Designed for researchers, bioinformaticians, ontologists, and advanced students, the book blends theoretical foundations with practical modeling guidance—showing how ontologies improve data integration, semantic annotation, and hypothesis testing in biomedical research and synthetic biology.

Readers will gain:
– A coherent ontology for representing physical entities and processes relevant to biology.
– Insight into creating semantically rich, machine-interpretable models for simulation and analysis.
– Practical approaches to improve interoperability between databases, simulation tools, and research teams.

Whether you’re building ontologies, developing computational models, or teaching interdisciplinary courses, this 1st Edition equips you with the conceptual tools to translate physical laws into biologically meaningful representations. Its clear explanations and real-world relevance make it a valuable addition to the library of anyone working at the intersection of physics and life sciences.

Ideal for academic libraries, research groups, and graduate courses, this authoritative volume supports the global research community—readers across North America, Europe, Asia, and beyond will find its methods immediately applicable. Secure your copy today to advance modeling accuracy, semantic clarity, and collaborative discovery in biology.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.