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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