The protein sequence analysis can deal with various approaches in order to find the phenotypic and functional characteristics of the gene structure. Fortunately there are many models of genes already described in database with biological information.
Linking coffee gene annotations transcriptome to centralized biology information systems as Bio2RDF, offers the possibility of finding associated transcriptome relationships between them and between terms and concepts defined by semantic rules defined by ontologies.
Sesame was used as a repository to store information related triplets with coffee and transcriptomes index obtained from the Protein Data Bank (PDB), these relationships are the foundation for semantic search using SPARQL.
Data from the functional relationships searches are deployed through the endpoint provided by the repository from Sesame and Pubby.