00000cab a22000003a 4500 UP-99796217608835020 Buklod 20231007234842.0 m |o d | ta 090512s xx d | ||r ||||| || DENGII eng Zirkind, Givon How data inspection and consideration, provides for index compression and record access optimization of genetic databases. pp. 27 With the many advances in computer hardware, the constant and historical challenges of optimization in processing and data storage diminished if not disappeared almost entirely. With hard drives getting larger and larger, while prices keep dropping; and the same occurring to memory; computer programs have turned more and more into bloatware. Likewise, processing speed has made efficiency and streamlining of program code, virtually a non-issue. The field of genetic research provides the perfect regeneration of those classical challenges to computer engineers. Genetic research requires extremely large databases, with extremely large indexes, with complex search criteria, with an extremely large number of inquiries and searches initiated remotely. Often, search requests are initiated over long geographic distances. To improve database performance, indexing access speed, and reduce index size, the author developed a new, genetic database, herein discussed. Information systems. Information storage and retrieval. Content analysis and indexing. Indexing methods. Data. Coding and information theory. Data compaction and compression. Database management. Database applications. Scientific databases. Systems and software. Performance evaluation (efficiency and effectiveness). Computer applications. Life and medical sciences. Biology and genetics. Algorithms. Design. Theory. Aquaculture. Bio-informatics. Database. Gene. Genetics. Record access optimization. Software engineering notes. 31, 1 (2006). FO UPD DENG-II Article