Review:
Kegg Database
overall review score: 4.5
⭐⭐⭐⭐⭐
score is between 0 and 5
KEGG (Kyoto Encyclopedia of Genes and Genomes) database is a comprehensive resource that integrates genomic, chemical, and systemic functional data. It is widely used in bioinformatics and systems biology for pathway mapping, gene annotation, and understanding the molecular interaction networks within cells.
Key Features
- Curated pathway maps covering metabolism, genetic information processing, environmental information processing, cellular processes, and human diseases
- Annotated genomes across many species
- Chemical compounds and drug information
- Tools for pathway reconstruction and analysis
- Integration with other biological databases
Pros
- Extensive and well-curated biological data
- Highly detailed pathway maps useful for research
- Supports various bioinformatics analyses and tools
- Popular and widely accepted in the scientific community
Cons
- Complex interface may have a steep learning curve for new users
- Some data may be outdated or incomplete for certain species
- Limited integration with newer data types such as omics proteomics or metabolomics without additional tools