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Databases and Systems

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hierarchical text. The genome map is h<strong>and</strong>led by Java applets. The sequence<br />

similarity relationships of genes within <strong>and</strong> across species are analyzed in KEGG to<br />

identify functional relationships. Thus, the information of orthologous <strong>and</strong><br />

paralogous genes is represented in the ortholog group table, which is a simple HTML<br />

table.<br />

Database Management <strong>Systems</strong><br />

DBGET/LinkDB system<br />

Table 2. Different types of network data in KEGG.<br />

The DBGETLinkDB system [4] is an in-house developed database management<br />

system written in C++ that provides the basis for integrating different resources<br />

within KEGG <strong>and</strong> also with other existing databases. DBGETLinkDB integrates a<br />

diverse range of databases at the level of entries. An entry in the web of molecular<br />

biology databases is uniquely identified by the combination of the database name <strong>and</strong><br />

the entry name (or accession number)<br />

database:entry<br />

<strong>and</strong> the relation between two entries within <strong>and</strong> across databases is represented by the<br />

binary relation:<br />

database1:entry1 database2:entry2<br />

This concept has been extended to include gene catalogs in KEGG. Any gene (or<br />

gene product) in the web of biological organisms is uniquely identified by the<br />

combination of the organism name <strong>and</strong> the gene name<br />

organism:gene<br />

<strong>and</strong> the relation between two genes (or gene products) within <strong>and</strong> across organisms is<br />

represented by the binary relation:<br />

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