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Updated: Aug 27, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Visualizing the knowledge structure and evolution of bioinformatics.

Jiaqi Wang¹, Zeyu Li², Jiawan Zhang³

¹College of Intelligence and Computing, Tianjin University, Tianjin, China. jqw.skye@gmail.com.

BMC Bioinformatics

|September 30, 2022

Summary

This summary is machine-generated.

Bioinformatics research has shifted towards omics and advanced computational methods like machine learning. DNA-related topics increasingly connect diverse sub-fields, highlighting the growing importance of computational support in bioinformatics.

Keywords:

Bioinformatics Knowledge structure Text-mining Visualization

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Bioinformatics is a rapidly growing interdisciplinary field.
Previous bibliometric analyses have not fully explored visualization's role or sub-topic interconnections.

Purpose of the Study:

To analyze the evolution of bioinformatics research hotspots.
To investigate the relationship between bioinformatics sub-topics and computational methods.

Main Methods:

Bibliometric analysis of bioinformatics literature.
Trend analysis of computational methods (e.g., mathematical models, data mining, machine learning).

Main Results:

Bioinformatics research focus has shifted from molecular biology to omics.
DNA-related topics act as crucial bridges connecting various sub-fields.
Computational methods, particularly machine learning, show increasing integration and importance.

Conclusions:

Bioinformatics research is becoming more diversified.
The prominence and integration of computational methods in bioinformatics are steadily increasing.