A DEDUCTIVE DATABASE SYSTEM FOR ANALYZING HUMAN NUCLEOTIDE-SEQUENCE DATA

The analysis of the human genome is one of the most significant topics in both biology and medical science. There is a growing need for a we ll-designed database system for searching and analyzing the human geno me data. We developed a deductive database system to search and analyz e nucleotide sequence data derived from the GenBank primates data. A d eductive database system is a next generation one and it contains an i nference mechanism that can handle problems beyond the capabilities of classical database systems. Database queries are described in logical rules. These rules are simple even for molecular biologists who are n ot experts in computer programs because they are declarative and do no t require the procedural commands that are usually used in computer pr ograms. Furthermore, queries based on logical rules are powerful enoug h to express complicated biological problems. Particularly, recursive rules are suitable for examining secondary structures of nucleotide se quences. In our analysis of TfR's IRE, we noted five stem-and-loop str uctures.