Object-Relational DBMSs: Tracking the Next Great Wave
Object-Relational DBMSs: Tracking the Next Great Wave
Accelerating Protein Classification Using Suffix Trees
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Practical methods for constructing suffix trees
The VLDB Journal — The International Journal on Very Large Data Bases
PiQA: an algebra for querying protein data sets
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Declarative Querying for Biological Sequences
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
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Life science laboratories today have to rely on procedural techniques to store and manage large sequence datasets. Procedural techniques are cumbersome to use and are often very inefficient compared to optimized declarative techniques. We have designed and implemented a system called Periscope/SQ that makes it possible to rapidly express complex queries within a declarative framework and take advantage of database-style query optimization. As a result, queries in Periscope/SQ run orders of magnitude faster than typical procedural implementations. We demonstrate the power of Persicope/SQ through an application called Gene-Locator which allows biologists to rapidly explore large genomic sequence databases.