GOAnnotator: linking protein GO annotations to evidence text.

ABSTRACT:

Background

Annotation of proteins with gene ontology (GO) terms is ongoing work and a complex task. Manual GO annotation is precise and precious, but it is time-consuming. Therefore, instead of curated annotations most of the proteins come with uncurated annotations, which have been generated automatically. Text-mining systems that use literature for automatic annotation have been proposed but they do not satisfy the high quality expectations of curators.

Results

In this paper we describe an approach that links uncurated annotations to text extracted from literature. The selection of the text is based on the similarity of the text to the term from the uncurated annotation. Besides substantiating the uncurated annotations, the extracted texts also lead to novel annotations. I

SUBMITTER: Couto FM 

PROVIDER: S-EPMC1769513 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature