A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
TXTGate: profiling gene groups with text-based information
2004
Genome Biology
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.
doi:10.1186/gb-2004-5-6-r43
pmid:15186494
pmcid:PMC463076
fatcat:iijxrcxvr5hffkpfnpwl4hbhvq