Mining and integration of pathway diagrams from imaging data.

ABSTRACT:

Motivation

Pathway diagrams from PubMed and World Wide Web (WWW) contain valuable highly curated information difficult to reach without tools specifically designed and customized for the biological semantics and high-content density of the images. There is currently no search engine or tool that can analyze pathway images, extract their pathway components (molecules, genes, proteins, organelles, cells, organs, etc.) and indicate their relationships.

Results

Here, we describe a resource of pathway diagrams retrieved from article and web-page images through optical character recognition, in conjunction with data mining and data integration methods. The recognized pathways are integrated into the BiologicalNetworks research environment linking them to a wealth of data available

SUBMITTER: Kozhenkov S 

PROVIDER: S-EPMC3289920 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature