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.
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页数：12
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