TXTGate: profiling gene groups with text-based information

被引：48

作者：

Glenisson, P ^{[1
]}

Coessens, B ^{[1
]}

Van Vooren, S ^{[1
]}

Mathys, J ^{[1
]}

Moreau, Y ^{[1
]}

De Moor, B ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Elektrotech ESAT, Fac Toegepaste Wetenschappen, B-3001 Heverlee, Belgium

来源：

GENOME BIOLOGY | 2004年 / 5卷 / 06期

关键词：

D O I：

10.1186/gb-2004-5-6-r43

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

引用

页数：12

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