Semantic integration of data on transcriptional regulation.

ABSTRACT:

Motivation

Experimental and predicted data concerning gene transcriptional regulation are distributed among many heterogeneous sources. However, there are no resources to integrate these data automatically or to provide a 'one-stop shop' experience for users seeking information essential for deciphering and modeling gene regulatory networks.

Results

IntegromeDB, a semantic graph-based 'deep-web' data integration system that automatically captures, integrates and manages publicly available data concerning transcriptional regulation, as well as other relevant biological information, is proposed in this article. The problems associated with data integration are addressed by ontology-driven data mapping, multiple data annotation and heterogeneous data querying, also enabling int

SUBMITTER: Baitaluk M 

PROVIDER: S-EPMC2887046 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature