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Updated: Jul 7, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
KEGG bioinformatics resource for plant genomics research
Ali Masoudi-Nejad1, Susumu Goto, Takashi R Endo
1Laboratory of Bioknowledge Systems, Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho Uji, Kyoto, Japan.
The Kyoto Encyclopedia of Genes and Genomes (KEGG) offers integrated genomic, chemical, and network data. The new EGENES database enhances analysis of plant expressed sequence tags (ESTs) for functional insights.
Area of Science:
- Bioinformatics
- Genomics
- Systems Biology
Background:
- The Kyoto Encyclopedia of Genes and Genomes (KEGG) is a comprehensive bioinformatics resource.
- It integrates genomic, chemical, and network information, including pathways and molecular data.
- KEGG comprises multiple databases like PATHWAY, GENES, BRITE, and LIGAND.
Purpose of the Study:
- To introduce KEGG and highlight the significance of its new EGENES database.
- To demonstrate how EGENES facilitates the analysis of plant expressed sequence tags (ESTs).
- To provide an overview of KEGG's architecture and efficient data utilization.
Main Methods:
- KEGG integrates diverse biological data, including genes, molecules, and pathways.
- New databases, DGENES (draft genomes) and EGENES (EST data), have been added.
- EGENES assembles public ESTs into contigs for organism-specific analysis.
Main Results:
- EGENES serves as a knowledge base for analyzing organism-specific ESTs, particularly for plants.
- It links genomic information with higher-order functional data within a unified database.
- The structure of EGENES provides insight into KEGG's overall design and data accessibility.
Conclusions:
- KEGG is a vital resource for understanding biological functions from a genomic perspective.
- EGENES enhances the utility of KEGG for plant research by enabling efficient EST analysis.
- Understanding EGENES facilitates effective use of the broader KEGG database.
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