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Example: ACE2 containing region
   K10331 K10333 K03857 K05449 K06911 K08896 K09708 K20004

KEGG Genome Browser

KEGG Genome Browser is a newly devloped browser for viewing and anlyzing chromosomal positions of genes. It is available for the eukaryotic genomes with the NCBI assembly level of "Complete genome" or "Chromosome" and for all the prokaryotic genomes with a few exceptions of archaeal genomes. The KGB link in the following list of KEGG organisms indicates the availability of the Genome Browser.

KEGG Synteny

KEGG Synteny is an associated tool for identifying conserved gene orders, or conserved synteny, among KEGG organisms and for analyzing functional and evolutionary implications by aligning corresponding genome locations using the KEGG Genome Browser.

Genome as a sequence of KOs
Genome alignment is usually done by aligning genome sequences. Here the genome is considered as a sequence of genes identified by KOs (K numbers) and the genome alignment is done by aligning sequences of matching K numbers. Thus, this approach significantly simplifies the problem of gene order alignment.
Starting with a given sequence of K numbers
The basic interface of this tool is the search box shown above, which allows searching a given sequence of K numbers across organisms. The result is shown in a different window consisting of the genome browser panel (right) for the aligned genome locations in matched organisms and the taxonomy browser panel (left) for selecting organisms.
Starting with the genome browser
The sequence of K numbers may be seleted from the KEGG Genome Browser. Search the location of genes of your interest, zoom in/out to display an appropriate number of genes, and use the Select mode to select genes and corresponding K numbers.
Starting with a given set of reference genomes
For about 200 reference genomes (see Reference genome in br08601), matching K number sequences are precomputed in pairwise genome comparisons. By searching this dataset conserved gene orders (conserved sequences of K numbers) in given organisms can be identified. Use the interface below to perform this search.
Enter organism codes of reference genomes

Last updated: October 1, 2022