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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
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KEGG for taxonomy-based analysis of pathways and genomes
Minoru Kanehisa1, Miho Furumichi1, Yoko Sato2
1Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan.
Nucleic Acids Research
|October 27, 2022
Summary
KEGG is a comprehensive biological database that integrates systems, genomic, chemical, and health information. Its updated features, including taxonomy mapping, enhance the analysis of gene conservation across diverse organisms.
Area of Science:
- Bioinformatics
- Systems Biology
- Genomics
Background:
- KEGG is a manually curated database integrating biological systems, genomic, chemical, and health information.
- Database entries are identified by KEGG identifiers (kid) and accessible via specific URL structures.
- KEGG provides viewers for pathways, Brite hierarchies, and genomes, facilitating data exploration.
Purpose of the Study:
- To describe the updated features of the KEGG database, focusing on improved genome representation and new analytical capabilities.
- To highlight the integration of an increasing number of eukaryotic genomes.
- To introduce the taxonomy mapping feature for comparative analysis across organism groups.
Main Methods:
- Manual curation of biological objects and integration into KEGG.
- Development of specific URL structures for accessing KEGG entries, pathways, hierarchies, and genomes.
- Implementation of an improved annotation procedure for KEGG Orthology (KO) assignment.
- Generation of multiple taxonomy files for organism and virus classification.
- Utilizing the Brite hierarchy viewer for taxonomy mapping within the KEGG Mapper suite.
Main Results:
- KEGG now includes a greater number of eukaryotic genomes, enhancing taxonomic representation.
- New KEGG Mapper suite features taxonomy mapping, a variant of Brite mapping.
- Taxonomy mapping allows for the analysis of conserved functional and physical gene links across organism groups.
- KEGG identifiers (kid) provide a standardized way to retrieve specific database entries.
Conclusions:
- The enhanced KEGG database, with its improved genome representation and taxonomy mapping, offers advanced tools for biological data analysis.
- KEGG facilitates the study of gene conservation and evolutionary relationships across a wide range of organisms.
- The database continues to be a vital resource for integrating and exploring diverse biological information.
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