TXTGate: profiling gene groups with text-based information.
TXTGate: profiling gene groups with text-based information.
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DOI：
10.1186/gb-2004-5-6-r43
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发表时间：
2004
期刊：
影响因子：
12.3
通讯作者：
De Moor B
中科院分区：
文献类型：
--
作者：
Glenisson P;Coessens B;Van Vooren S;Mathys J;Moreau Y;De Moor B
这项研究实施了一个框架，称为TXTGate，结合了选定的公共生物资源的文献索引，在一个灵活的文本挖掘系统，旨在对基因组的分析。我们实现了一个框架，称为TXTGate，它结合了选定的公共生物资源的文献索引，在一个灵活的文本挖掘系统，旨在对基因组的分析。通过量身定制的词汇表，术语以及基因为中心的观点提供了选定的文本字段和MEDLINE摘要中使用的LocusLink和酵母基因组数据库。子聚类和与外部资源的链接允许对所产生的术语概况进行深入分析。
This study implemented a framework called TXTGate that combines literature indices of selected public biological resources in a flexible text-mining system designed towards the analysis of groups of genes. We implemented a framework called TXTGate that combines literature indices of selected public biological resources in a flexible text-mining system designed towards the analysis of groups of genes. By means of tailored vocabularies, term- as well as gene-centric views are offered on selected textual fields and MEDLINE abstracts used in LocusLink and the Saccharomyces Genome Database. Subclustering and links to external resources allow for in-depth analysis of the resulting term profiles.