The scientific literature is vast, and valuable information connecting findings from disparate works is easily missed. Teams of collaborators address this problem up to a point but could still benefit from systematic “big data” approaches that mine the entire literature to generate testable hypotheses on a large scale.
MeTeOR mines the PubMed literature, revealing knowledge previously hidden in a sea of information. Given one biological entity (a gene, drug, or disease), it can give a ranked list of associations with other biological entities, and it can highlight papers pertaining to any two biological entities.
Type your query into the search bar. You can use MeSH term, MeSH ID, or gene symbol.
Select the entity of interest by Clicking on the select button. The MeSH ID column links out the NLM's page for that MeSH term.
Your search results will be displayed in two formats, as a network and as a table. The network view shows the different types of entities that are connected to your search term (EGFR in this case), including genes, drugs, and diseases.
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