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Resource Name
BITOLA: Biomedical Discovery Support System
RRID:SCR_008175 RRID Copied      
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BITOLA: Biomedical Discovery Support System (RRID:SCR_008175)
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Resource Information

URL: http://www.mf.uni-lj.si/bitola/

Proper Citation: BITOLA: Biomedical Discovery Support System (RRID:SCR_008175)

Description: An interactive literature-based biomedical discovery support system. The goal of this 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 integrated background knowledge about the chromosomal location of the starting disease as well as the chromosomal location of the candidate genes from resources such as Entrez Gene, HUGO and OMIM. The BITOLA system can also be used as an alternative way of searching the Medline database. The system is available in two versions: closed discovery and open discovery. Closed discovery allows the input of two concepts (Example 1: a disorder and a gene. Example 2: a drug and a side effect) and generates potential explanations of the relationship between two entities. It does this by searching published literature to finds intermediate links. Open discovery allows the input of a single concept, then categories for first-order relatives of that concept, then categories for relatives of those first order concepts. Thus it can link from a disease to related drugs, then to genes related to those drugs and then test if those genes have been mentioned/tested in association with the disease. If the answer is no, then the gene is potentially related yet untested in the literature. Thus the open discovery tool is a nominator of new genes, drugs or neuroscience correlates to be investigated with diseases, disorders, physiological responses or any other phenotype.

Synonyms: BITOLA

Resource Type: software application, data processing software, data analysis software, software resource

Keywords: drug, gene, biomedical, chromosomal, concept, discovery, disease, disorder, literature, location, medline interfaces, neuroscience, phenotype, physiological, response

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