title: Kleisli: a new tool for data integration in biology.
abstract: One of the central problems in bioinformatics is data retrieval and integration. The existing biological databases are geographically distributed across the Internet, complex and heterogeneous in data types and data structures, and constantly changing. With the current rapid growth of biomedical data, the challenge is how large volumes of data retrieved from multiple databases can be transformed and integrated automatically and flexibly. This article describes a powerful new tool, the Kleisli system, for complex queries across multiple databases and data integration.
authors.affiliation: Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814-4799, USA. suchung@sdsc.edu
authors.forename: S Y
authors.initials: SY
authors.lastname: Chung
authors.forename: L
authors.initials: L
authors.lastname: Wong
mesh_terms: D019295:Computational Biology; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval; D020407:Internet; D017385:Sequence Homology