MedlinePlus Health Topics
Countries that developed this resource United States
Created in 2013
How to cite this record FAIRsharing.org: MEDLINEPLUS; MedlinePlus Health Topics; DOI: https://doi.org/10.25504/FAIRsharing.bf8dsb; Last edited: Aug. 13, 2019, 4:09 p.m.; Last accessed: Dec 02 2020 11:04 p.m.
Record updated: May 2, 2019, 2:14 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.bf8dsb' by 'The FAIRsharing Team' at 14:14, 02 May 2019 (approved): 'supportLinks' has been modified: Before: After: online documentation|https://medlineplus.gov/healthtopics.html Added: online documentation|https://medlineplus.gov/healthtopics.html Removed:
Edits to 'https://fairsharing.org/FAIRsharing.bf8dsb' by 'The FAIRsharing Team' at 09:25, 29 Apr 2019 (approved): 'onto_disciplines' has been modified: Before: Biomedical Science Health Sciences Medicine After: Biomedical Science Health Sciences Medicine Ontology and Terminology Added: Ontology and Terminology Removed:
Edits to 'https://fairsharing.org/FAIRsharing.bf8dsb' by 'The FAIRsharing Team' at 19:52, 25 Oct 2016 (approved): 'homepage' has been modified: Before: http://bioportal.bioontology.org/ontologies/1347 After: http://www.nlm.nih.gov/medlineplus/xmldescription.html
|online documentation||Health Topics|
|Contact||NLM Customer Service|
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BEERE (Biomedical Entity Expansion, Ranking, and Explorations) is a web-based data analysis tool to help biomedical researchers characterize any input list of genes/proteins, biomedical terms, or their combinations, i.e., “biomedical entities”, in the context of existing literature. Specifically, BEERE first aims to help users examine the credibility of known entity-to-entity associative or semantic relationships supported by database or literature references from the user input of a gene/term list. Then, it will help users uncover the relative importance of each entity—a gene or a term—within the user input by computing the ranking scores of all entities. Lastly, it will help users hypothesize new gene functions or genotype-phenotype associations by an interactive visual interface of constructed global entity relationship network. The output from BEERE includes: a list of the original entities matched with known relationships in databases; any expanded entities that may be generated from the analysis; the ranks and ranking scores reported with statistical significance for each entity; and an interactive graphical display of the gene or term’s network within data provenance annotations that link out to external data sources. The web server is free and open to all users with no login requirement and can be accessed at http://discovery.informatics.uab.edu/beere/.
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National Institutes of Health (NIH), Bethesda, MD, USA (Government body)
MedLinePlus Administrators (Consortium)