TXTGate: profiling gene groups with text-based information

P. Glenisson; B. Coessens; S. Van Vooren; J. Mathys; Yves Moreau; B. De Moor

TXTGate: profiling gene groups with text-based information

P. Glenisson, B. Coessens, S. Van Vooren, J. Mathys, Yves Moreau, B. De Moor

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

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.

Original language	English
Journal	Genome Biology (Online Edition)
Volume	5
Pages (from-to)	R43
ISSN	1474-7596
Publication status	Published - 2004

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AU - Van Vooren, S.

AU - Mathys, J.

AU - Moreau, Yves

AU - De Moor, B.

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M3 - Journal article

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VL - 5

SP - R43

JO - Genome Biology (Online Edition)

JF - Genome Biology (Online Edition)

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TXTGate: profiling gene groups with text-based information

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