文章基本信息

标题：Opportunities for text mining in the FlyBase genetic literature curation workflow
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作者：McQuilton, Peter
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/bas039
出版社：Oxford University Press
摘要：FlyBase is the model organism database for Drosophila genetic and genomic information. Over the last 20 years, FlyBase has had to adapt and change to keep abreast of advances in biology and database design. We are continually looking for ways to improve curation efficiency and efficacy. Genetic literature curation focuses on the extraction of genetic entities (e.g. genes, mutant alleles, transgenic constructs) and their associated phenotypes and Gene Ontology terms from the published literature. Over 2000 Drosophila research articles are now published every year. These articles are becoming ever more data-rich and there is a growing need for text mining to shoulder some of the burden of paper triage and data extraction. In this article, we describe our curation workflow, along with some of the problems and bottlenecks therein, and highlight the opportunities for text mining. We do so in the hope of encouraging the BioCreative community to help us to develop effective methods to mine this torrent of information.Database URL: http://flybase.org