NeXtA5: accelerating annotation of articles via automated approaches in neXtProt.

ABSTRACT: The rapid increase in the number of published articles poses a challenge for curated databases to remain up-to-date. To help the scientific community and database curators deal with this issue, we have developed an application, neXtA5, which prioritizes the literature for specific curation requirements. Our system, neXtA5, is a curation service composed of three main elements. The first component is a named-entity recognition module, which annotates MEDLINE over some predefined axes. This report focuses on three axes: Diseases, the Molecular Function and Biological Process sub-ontologies of the Gene Ontology (GO). The automatic annotations are then stored in a local database, BioMed, for each annotation axis. Additional entities such as species and chemical compounds are also identified. T

SUBMITTER: Mottin L 

PROVIDER: S-EPMC4930835 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature