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  • 标题:Building an efficient curation workflow for the Arabidopsis literature corpus
  • 本地全文:下载
  • 作者:Li, Donghui ; Berardini, Tanya Z. ; Muller, Robert J.
  • 期刊名称:Database
  • 印刷版ISSN:1758-0463
  • 电子版ISSN:1758-0463
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.1093/database/bas047
  • 出版社:Oxford University Press
  • 摘要: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
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