TXTGate: profiling gene groups with text-based information

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...

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Detalles Bibliográficos
Autores principales: Glenisson, Patrick, Coessens, Bert, Van Vooren, Steven, Mathys, Janick, Moreau, Yves, De Moor, Bart
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463076/
https://www.ncbi.nlm.nih.gov/pubmed/15186494
http://dx.doi.org/10.1186/gb-2004-5-6-r43
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author Glenisson, Patrick
Coessens, Bert
Van Vooren, Steven
Mathys, Janick
Moreau, Yves
De Moor, Bart
author_facet Glenisson, Patrick
Coessens, Bert
Van Vooren, Steven
Mathys, Janick
Moreau, Yves
De Moor, Bart
author_sort Glenisson, Patrick
collection PubMed
description 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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spelling pubmed-4630762004-07-16 TXTGate: profiling gene groups with text-based information Glenisson, Patrick Coessens, Bert Van Vooren, Steven Mathys, Janick Moreau, Yves De Moor, Bart Genome Biol Software 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. BioMed Central 2004 2004-05-28 /pmc/articles/PMC463076/ /pubmed/15186494 http://dx.doi.org/10.1186/gb-2004-5-6-r43 Text en Copyright © 2004 Glenisson et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Software
Glenisson, Patrick
Coessens, Bert
Van Vooren, Steven
Mathys, Janick
Moreau, Yves
De Moor, Bart
TXTGate: profiling gene groups with text-based information
title TXTGate: profiling gene groups with text-based information
title_full TXTGate: profiling gene groups with text-based information
title_fullStr TXTGate: profiling gene groups with text-based information
title_full_unstemmed TXTGate: profiling gene groups with text-based information
title_short TXTGate: profiling gene groups with text-based information
title_sort txtgate: profiling gene groups with text-based information
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC463076/
https://www.ncbi.nlm.nih.gov/pubmed/15186494
http://dx.doi.org/10.1186/gb-2004-5-6-r43
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