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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 WebLinksREST-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 Analysis Tools

The following analysis tools are developed and maintained by Kanehisa Laboratories.
KEGG MapperKEGG mapping against PATHWAY/BRITE/MODULE databases, as well as NETWORK/DISEASE databases for human data [reference]
KEGG SyntaxTools for taxonomy based analysis of conserved genes, gene sets and gene orders among organisms and organism groups [reference]
KEGG Web AppsPathway viewer, Brite viewer and Genome browser with mapping capabilities, including advanced coloring of pathway maps
KEGG AnnotationTools for assisting KO annotation, including the automatic annotation servers shown below.
BlastKOALA
GhostKOALA
KOALA family tools for automatic annotation of genome and metagenome sequences with subsequent KEGG Mapper analysis [reference]

GenomeNet Analysis Tools

The following web servers are maintained by Kyoto University Bioinformatics Center as part of its GenomeNet service.
KofamKOALAAnother KOALA family tool for automatic KO assignment and KEGG mapping [reference]
KAASThe original KEGG automatic annotation server [reference]
KEGG OCKEGG 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]
KCaMGlycan structure similarity search against KEGG GLYCAN using tree structure comparison methods [reference]
E-zymeComputational assignment of EC number sub-subclasses from chemical structure transformation patterns of substrates and products [references]
E-zyme2Identification of enzyme genes using chemical structure alignments of substrate-product pairs [references]
PathPredPrediction of microbial biodegradation pathways and plant second metabolite biosynthesis pathways using reaction patterns in KEGG RCLASS [references]
GENIESGene network prediction from heterogeneous data sets using kernel methods and partially known network information [references]
DINIESDrug-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.

iKeg: User-Side Applications

User-side applications making use of the KEGG services are collectively called iKeg, or personalized KEGG.

KegTools are Java-based desktop applications that run on the Mac OS X, Windows, and Linux platforms. They were developed by Kanehisa Laboratories, but are no longer supported.
KegHierfor browsing and searching BRITE functional hierarchies as well as for manipulating locally created hierarchical text files
KegArray  for analysis of transcriptome data (gene expression profiles) and metabolome data (compound profiles) with capabilities of KEGG pathway mapping and BRITE mapping
KegDrawfor drawing chemical compound structures and glycan structures with capabilities to search against the KEGG databases

Last updated: July 1, 2026

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