TXTGate: profiling gene groups with text-based inf...[Genome Biol. 2004]

SearchDatabase nameforSearch term

Advanced Search

Your browser version may not work well with NCBI's Web applications. More information here...

Display Show

All: 1

Review: 0

Click to change filter selection through MyNCBI.

1: Genome Biol. 2004;5(6):R43. Epub 2004 May 28. Links

TXTGate: profiling gene groups with text-based information.

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

Departement Elektrotechniek (ESAT), Faculteit Toegepaste Wetenschappen, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, 3001 Heverlee (Leuven), Belgium.

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.

PMID: 15186494 [PubMed - indexed for MEDLINE]

PMCID: PMC463076

Clustering gene expression data using adaptive double self-organizing map.
Physiol Genomics. 2003 Jun 24; 14(1):35-46. Epub 2003 Jun 24.

[Physiol Genomics. 2003]
Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining.
Bioinformatics. 2008 Aug 15; 24(16):i119-25.

[Bioinformatics. 2008]
Using text analysis to identify functionally coherent gene groups.
Genome Res. 2002 Oct; 12(10):1582-90.

[Genome Res. 2002]
ReviewTowards knowledge-based gene expression data mining.
J Biomed Inform. 2007 Dec; 40(6):787-802. Epub 2007 Jun 21.

[J Biomed Inform. 2007]
ReviewThe importance of biological databases in biological discovery.
Curr Protoc Bioinformatics. 2006 Mar; Chapter 1:Unit 1.1.

[Curr Protoc Bioinformatics. 2006]
» See reviews... | » See all...

Cited by 15 PubMed Central articles

Text-based over-representation analysis of microarray gene lists with annotation bias.
Leong HS, Kipling D. Nucleic Acids Res. 2009 Jun; 37(11):e79. Epub 2009 May 8.

[Nucleic Acids Res. 2009]
Anni 2.0: a multipurpose text-mining tool for the life sciences.
Jelier R, Schuemie MJ, Veldhoven A, Dorssers LC, Jenster G, Kors JA. Genome Biol. 2008; 9(6):R96. Epub 2008 Jun 12.

[Genome Biol. 2008]
ENDEAVOUR update: a web resource for gene prioritization in multiple species.
Tranchevent LC, Barriot R, Yu S, Van Vooren S, Van Loo P, Coessens B, De Moor B, Aerts S, Moreau Y. Nucleic Acids Res. 2008 Jul 1; 36(Web Server issue):W377-84. Epub 2008 May 28.

[Nucleic Acids Res. 2008]
» See all...

Recent Activity

Clear Turn Off Turn On

TXTGate: profiling gene groups with text-based information.TXTGate: profiling gene groups with text-based information.

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

Display Show

TXTGate: profiling gene groups with text-based information.

Related articles

Cited by 15 PubMed Central articles

Recent Activity