Research Topic · Peer-Reviewed

Biological Knowledge

Representation Biological knowledge representation is a term used to describe the process of structuring biological information (such as genetics, physiology, and biochemistry) into a form that is more easily accessible, understandable, and analyzed by computers. Biological knowledge representation systems provide …

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 14× across the literature 🔖 ISSN 2374-9431 🗓 Reviewed July 2026

Overview

Representation Biological knowledge representation is a term used to describe the process of structuring biological information (such as genetics, physiology, and biochemistry) into a form that is more easily accessible, understandable, and analyzed by computers. Biological knowledge representation systems provide a way of collecting, storing, and retrieving information about the relationship between biological entities in a standardized fashion. This technology enables analysis of complex data related to biology and medicine, and can be used to develop diagnostic and therapeutic applications. In short, biological knowledge representation technology aids the understanding of biology and its related fields, and ultimately provides benefit to all aspects of life.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 14 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Biological Knowledge, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Bioinformatics And Diabetes (ISSN 2374-9431).

Journal editorial board
Wei Wang · United States Chol Hee Jung · Australia Emile Chimusa · United Kingdom

This page summarises published research for orientation; it is not medical or professional advice.