Mining the biomedical literature for genic information

Authors:
Catalina O. Tudor;K. Vijay-Shanker;Carl J. Schmidt
Affiliations:
University of Delaware, Newark, DE;University of Delaware, Newark, DE;University of Delaware, Newark, DE
Venue:
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Year:
2008

Citing 3
Cited 0

Implementing the iHOP concept for navigation of biomedical literature

Bioinformatics
BioThesaurus: a web-based thesaurus of protein and gene names

Bioinformatics
EBIMed---text crunching to gather facts for proteins from Medline

Bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

eGIFT (Extracting Gene Information From Text) is an intelligent system which is intended to aid scientists in surveying literature relevant to genes of interest. From a gene specific set of abstracts retrieved from PubMed, eGIFT determines the most important terms associated with the given gene. Annotators using eGIFT can quickly find articles describing gene functions and individuals scientists surveying the results of high-throughput experiments can quickly extract information important to their hits.