title: Building an efficient curation workflow for the Arabidopsis literature corpus.
abstract: TAIR (The Arabidopsis Information Resource) is the model organism database (MOD) for Arabidopsis thaliana, a model plant with a literature corpus of about 39 000 articles in PubMed, with over 4300 new articles added in 2011. We have developed a literature curation workflow incorporating both automated and manual elements to cope with this flood of new research articles. The current workflow can be divided into two phases: article selection and curation. Structured controlled vocabularies, such as the Gene Ontology and Plant Ontology are used to capture free text information in the literature as succinct ontology-based annotations suitable for the application of computational analysis methods. We also describe our curation platform and the use of text mining tools in our workflow. Database URL: www.arabidopsis.org
authors.affiliation: Department of Plant Biology, The Arabidopsis Information Resource, Carnegie Institution for Science, Stanford, CA 94305, USA.
authors.forename: Donghui
authors.initials: D
authors.lastname: Li
authors.forename: Tanya Z
authors.initials: TZ
authors.lastname: Berardini
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Muller
authors.forename: Eva
authors.initials: E
authors.lastname: Huala
mesh_terms: D017360:Arabidopsis / Q000235:genetics*; D057225:Data Mining / Q000379:methods*; D030541:Databases, Genetic; D017343:Genes, Plant / Q000235:genetics; D058977:Molecular Sequence Annotation; D010506:Periodicals as Topic; D010641:Phenotype; D011110:Polymorphism, Genetic; D057386:Search Engine; D018875:Vocabulary, Controlled; D057188:Workflow