GO2PUB

Charles Bettembourg (1) , Olivier Dameron (2) , Christian Diot (1) , Anita Burgun (3)

1 PEGASE - Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes]
2 INSERM - Institut National de la Santé et de la Recherche Médicale
3 UMR 936

Literature search on PubMed takes more and more time as PubMed growths. There is a need for automated search tools, which must have a better precision and recall than PubMed basic query system. We developped GO2PUB to answer this demand in the field of the genetics. Our purpose was to use the knowledge within the Gene Ontology (GO) to build PubMed queries and display results for a quick access to the information. GO annotations link genes products to the metabolic pathways in which these are involved. Genes annotated by a GO term concerning a pathway that interest us can be used as keywords for a PubMed query. Following the GO true path rule, it allows to query PubMed with many genes names from only a few numbers of GO terms. GO2PUB can build additional queries from users keywords to obtain more relevant results. For each result, it displays PMID, title, authors, date, abstract and journal. Name, symbol and synonyms of genes that have been used as keywords thanks to the GO term entered by the user are highlighted.

Domaines: Sciences du Vivant [q-bio]

Charles Bettembourg, Olivier Dameron, Christian Diot, Anita Burgun. GO2PUB. 2012. ⟨hal-01210572⟩