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PMID: 15186494 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

TXTGate: profiling gene groups with text-based information.

Genome biology ·Vol. 5 ·No. 6 ·2004-00-00 ·Pages R43

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

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.

MeSH Terms
Animals Cluster Analysis Databases, Genetic/statistics & numerical data Disease Models, Animal Gene Expression Profiling/methods,statistics & numerical data Gene Expression Regulation, Fungal/genetics Gene Expression Regulation, Neoplastic/genetics Genes, Fungal/genetics Genes, Neoplasm/genetics Genome, Fungal Genome, Human Humans Information Storage and Retrieval/statistics & numerical data,trends MEDLINE/standards,statistics & numerical data Mice Saccharomyces/genetics Salivary Gland Neoplasms/genetics Vocabulary
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Glenisson Patrick
Departement Elektrotechniek (ESAT), Faculteit Toegepaste Wetenschappen, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium.
Coessens Bert
Van Vooren Steven
Mathys Janick
Moreau Yves
De Moor Bart
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
DOI
10.1186/gb-2004-5-6-r43
Published
2004-00-00
Epub
2004-00-28
Pages
R43
Language
English
Region
England
NLM ID
100960660
PMCID
PMC463076
Subset
IM
External Links
PubMed source DOI: 10.1186/gb-2004-5-6-r43 PMC Full Text View journal details
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