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TXTGate: profiling gene groups with text-based information

delete2004-05-28
delete62
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OA
AI
P
Patrick Glenisson
B
Bert Coessens
S
Steven Van Vooren
J
Janick Mathys
Y
Yves Moreau
B
Bart De Moor
DOI：10.1186/gb-2004-5-6-r43delete
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Abstract

Abstract

En 中文
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.
Keywords:
ONTOLOGY
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Journal

G
Genome Biology
IF:
9.4
Papers:
6.4K
Citations:
7.3W

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