Text-mining applied to autoimmune disease research: the Sjogren's syndrome knowledge base.

ABSTRACT:

Background

Sjögren's syndrome is a tissue-specific autoimmune disease that affects exocrine tissues, especially salivary glands and lacrimal glands. Despite a large body of evidence gathered over the past 60 years, significant gaps still exist in our understanding of Sjögren's syndrome. The goal of this study was to develop a database that collects and organizes gene and protein expression data from the existing literature for comparative analysis with future gene expression and proteomic studies of Sjögren's syndrome.

Description

To catalog the existing knowledge in the field, we used text mining to generate the Sjögren's Syndrome Knowledge Base (SSKB) of published gene/protein data, which were extracted from PubMed using text mining of over 7,700 abstracts and listing appr

SUBMITTER: Gorr SU 

PROVIDER: S-EPMC3495204 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature