KEGG Software
KEGG Data Viewers
There are six basic data viewers in KEGG, a generic viewer, called DBGET viewer, for all data types in a flat-file view and five viwers for specific data types including pathway maps, Brite hierarchies, KEGG modules, Network variation maps and genome maps.
| KEGG WebLinks | REST-style URLs for the six data viewers: DBGET viewer, Pathway viewer, Brite viewer, Module viewer, Network viewer and Genome Browser. Among them Pathway viewer, Brite viewer and Genome browser are JavaScript based applications with analytica features and are called KEGG Web Apps. |
KEGG Mapping Tools
KEGG mapping tools developed by Kanehisa Laboratories are available for biological interpretation of genomic, transcriptomic, metabolomic, and other molecular data sets.
| KEGG Mapper | KEGG mapping against PATHWAY/BRITE/MODULE databases, as well as NETWORK/DISEASE databases for human data [reference] |
| KEGG Web Apps | Pathway viewer, Brite viewer and Genome browser with mapping capabilities, including advanced coloring of pathway maps |
Genome Analysis Tools
Genomes of cellular organisms and viruses are annotated with KOs, and the following tools developed by Kanehisa Laboratories allow comparison and analysis.
| KEGG Syntax | Tools for taxonomy based analysis of conserved genes, gene sets and gene orders, including a new tool for comparing KO or VOG sequences |
| KEGG Annotation | Tools for assisting KO annotation |
Automatic Annotation Servers
The following annotation servers are developed and maintained by Kanehisa Laboratories.
BlastKOALA
GhostKOALA | KOALA family tools for automatic annotation of genome and metagenome sequences with subsequent KEGG Mapper analysis [reference] |
Other Web Servers
The following web servers are maintained by Kyoto University Bioinformatics Center as part of its GenomeNet service.
| KofamKOALA | Another KOALA family tool for automatic KO assignment and KEGG mapping [reference] |
| KAAS | The original KEGG automatic annotation server [reference] |
| KEGG OC | KEGG OC viewer for browsing and analyzing ortholog clusters (OCs) computationally generated from the KEGG SSDB database [reference] |
SIMCOMP
SUBCOMP | Chemical structure similarity search against KEGG COMPOUND, KEGG DRUG, and other databases. SIMCOMP is based on 2D graph representation, while SUBCOMP is based on bit-string representation of chemical structures [references] |
| KCaM | Glycan structure similarity search against KEGG GLYCAN using tree structure comparison methods [reference] |
| E-zyme | Computational assignment of EC number sub-subclasses from chemical structure transformation patterns of substrates and products [references] |
| E-zyme2 | Identification of enzyme genes using chemical structure alignments of substrate-product pairs [references] |
| PathPred | Prediction of microbial biodegradation pathways and plant second metabolite biosynthesis pathways using reaction patterns in KEGG RCLASS [references] |
| GENIES | Gene network prediction from heterogeneous data sets using kernel methods and partially known network information [references] |
| DINIES | Drug-target interaction network prediction from various types of biological data including chemical structures, drug side effects, amino acid sequences and protein domains [references] |
The following service is also available at GenomeNet.
BLAST
FASTA | Sequence similarity search against KEGG GENES, KEGG GENOME, and other databases. |
Last updated: November 15, 2025
