title: Improving literature based discovery support by genetic knowledge integration.
abstract: We present an interactive literature based biomedical discovery support system (BITOLA). The goal of the system is to discover new, potentially meaningful relations between a given starting concept of interest and other concepts, by mining the bibliographic database Medline. To make the system more suitable for disease candidate gene discovery and to decrease the number of candidate relations, we integrate background knowledge about the chromosomal location of the starting disease as well as the chromosomal location of the candidate genes from resources such as LocusLink, HUGO and OMIM. The BITOLA system can be also used as an alternative way of searching the Medline database. The system is available at http://www.mf.uni-lj.si/bitola/.
authors.affiliation: Institute of Biomedical Informatics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. Dimitar.Hristovski@mf.uni-lj.si
authors.forename: Dimitar
authors.initials: D
authors.lastname: Hristovski
authors.forename: Borut
authors.initials: B
authors.lastname: Peterlin
authors.forename: Joyce A
authors.initials: JA
authors.lastname: Mitchell
authors.forename: Susanne M
authors.initials: SM
authors.lastname: Humphrey
mesh_terms: D000465:Algorithms; D002874:Chromosome Mapping; D030541:Databases, Genetic; D017143:Fuzzy Logic; D006801:Humans; D016247:Information Storage and Retrieval; D016239:MEDLINE