Go to the abstract in the NAR 2000 Database Issue.
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Contact marcella@area.ba.cnr.it
KEYnet is a database where gene and protein names are hierarchically structured. Indeed, the most common interrogation criteria for bio-databases are gene and protein names but, so far, the majority of them have been incorrectly annotated in the nucleic acid sequence databases which causes inconsistencies in data retrieval. The KEYnet structure is based on biological criteria in order to assist the user in data search and to minimise the risk of information loss. KEYnet structure is made up of a set of elements, nodes, linked to form a father-son relationship. At the highest level there is the root which links all the branches in the tree. Each node in the KEYnet structure is related to a gene or protein name. The most important branches are the nodes Protein, DNA and RNA. Each leaf in the tree is composed of several elements linked by synonymy. Biological information and associated sequences relevant to each keyword are extracted from the primary databases (EMBL data library and GenBank) and from specialised databases such as SWISS-PROT, ENZYME or any other suitable database. Links among KEYnet and the EMBL data library are established. Two by-side branches are implemented: the RAT Gene Names Tree and the Mitochondrial Genome Tree (the Mitochondrion Gene names classification has been structured as a contribution to the MitBASE project, http://www3.ebi.ac.uk/Research/Mitbase/mitbase.pl ) KEYnet is available through the WWW at the following site: http://www.ba.cnr.it/keynet.html and further details are available at http://bio-www.ba.cnr.it:8000/Tutorials/KEYnet/network.html
Go to the abstract in the NAR 2000 Database Issue.