Assessment of community-submitted ontology annotations from a novel database-journal partnership.

ABSTRACT: As the scientific literature grows, leading to an increasing volume of published experimental data, so does the need to access and analyze this data using computational tools. The most commonly used method to convert published experimental data on gene function into controlled vocabulary annotations relies on a professional curator, employed by a model organism database or a more general resource such as UniProt, to read published articles and compose annotation statements based on the articles' contents. A more cost-effective and scalable approach capable of capturing gene function data across the whole range of biological research organisms in computable form is urgently needed. We have analyzed a set of ontology annotations generated through collaborations between the Arabidopsis Inform

SUBMITTER: Berardini TZ 

PROVIDER: S-EPMC3410254 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature