FACTA: a text search engine for finding associated biomedical concepts.
FACTA: a text search engine for finding associated biomedical concepts.
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DOI：
10.1093/bioinformatics/btn469
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发表时间：
2008-11-01
期刊：
影响因子：
--
通讯作者：
Ananiadou S
中科院分区：
文献类型：
--
作者：
Tsuruoka Y;Tsujii J;Ananiadou S
总结：FACTA是一个MEDLINE摘要的文本搜索引擎，专门用于帮助用户浏览通过查询检索到的文档中出现的生物医学概念（例如基因/蛋白质、疾病、酶和化合物）。这些概念以表格形式呈现给用户，并根据共现统计数据进行排名。与提供类似功能的现有系统不同，FACTA不仅对文档中提到的单词进行预索引，还对文档中提到的概念进行预索引，这使得用户能够发出灵活的查询（例如自由关键字或关键字/概念的布尔组合），并且即使在与查询匹配的文档数量非常大的情况下也能够立即接收结果。用户还可以查看MEDLINE中的片段，以获得查询术语和概念之间关联的文本证据。用于构建索引的概念ID及其名称/同义词从几个生物医学数据库和叙词表中收集，如UniProt，BioThesaurus，UMLS，KEGG和DrugBank。可用性：该系统可在http://www.nactem.ac.uk/software/facta/上获得联系人：yoshimasa.鹤冈@ manchester.ac.uk
Summary: FACTA is a text search engine for MEDLINE abstracts, which is designed particularly to help users browse biomedical concepts (e.g. genes/proteins, diseases, enzymes and chemical compounds) appearing in the documents retrieved by the query. The concepts are presented to the user in a tabular format and ranked based on the co-occurrence statistics. Unlike existing systems that provide similar functionality, FACTA pre-indexes not only the words but also the concepts mentioned in the documents, which enables the user to issue a flexible query (e.g. free keywords or Boolean combinations of keywords/concepts) and receive the results immediately even when the number of the documents that match the query is very large. The user can also view snippets from MEDLINE to get textual evidence of associations between the query terms and the concepts. The concept IDs and their names/synonyms for building the indexes were collected from several biomedical databases and thesauri, such as UniProt, BioThesaurus, UMLS, KEGG and DrugBank. Availability: The system is available at http://www.nactem.ac.uk/software/facta/ Contact: yoshimasa.tsuruoka@manchester.ac.uk
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