TXTGate: profiling gene groups with text-based information.

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.

SUBMITTER: Glenisson P 

PROVIDER: S-EPMC463076 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature