Literature mining and automated hypothesis-generation with

MeTeOR

MeTeOR, or the MeSH Term Objective Reasoning network, is a network representation of genes, drugs, and diseases built on MeSH terms curated by the National Library of Medicine




Example for MeTeOR Clusters: LCA5, CEP83, MKKS, TMEM138, B9D1
Example for MeTeOR Entities: EGFR , 1956
You can search a gene by an Entrez ID, a chemical by a PubChem CID, disease by a MeSH ID, or by their name.

ABOUT

MeTeOR mines the PubMed literature, revealing knowledge previously hidden in a sea of information.

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.

HOW TO USE

01.

SELECT QUERY

Type your query into the search bar. You can use MeSH term, MeSH ID, or gene symbol.

02.

SELECT ENTITY

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.

03.

INTERPRETING THE RESULT

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.