Rsrc
J-GLOBAL ID：201410000139537087
Research Resource code：NBDC00119
Update date：Dec. 16, 2018
KEGG SSDB Database: Sequence Similarity Database (Orthologs/paralogs, conserved gene clusters, and sequence motifs)
KEGG SSDB Database: Sequence Similarity Database (Orthologs/paralogs, conserved gene clusters, and sequence motifs)
Owning Organization：
-
Kyoto University Institute for Chemical Research Bioinformatics Center
Resource classification：
Data,Database
Tag (subject) (1)：
Protein
Tag (data type) (2)：
Sequence
, Classification
Overview：
The KEGG SSDB (Sequence Similarity DataBase) organizes amino acid sequence similarities among all protein-coding genes in complete genomes computationally generated from the geneS database in KEGG. Using the SSEARCH program, all possible pairwise genomes are compared and gene pairs with a Smith-Waterman similarity score of 100 or more are entered into SSDB together with the information on best hits and bidirectional best hits (best-best hits).
SSDB is a weighted and directed graph that can be used to search orthologs and paralogs, and conserved gene clusters, taking positional correlations on the chromosome into consideration.
Source：
NBDC
Record maintainer：
Integbio Database Catalog
Record license：
Creative Commons CC0 license
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