An automated system to decode microarray platforms from NCBI Gene Expression Omnibus (GEO). We also built a web server to enable users to re-annotate their microarray results and find existing experiments with cross-platform comparison. The system relates probe IDs to Entrez Gene identifiers through a universal gene identifier table for all species.
Funded by the National Library of Medicine, the Butte Lab is integrating large-scale data sets across measurement modalities to create new knowledge and testable hypotheses in the areas of diabetes and obesity.
GENECHASER is a gene-specific search tool across all of these experimental conditions. Give us a gene symbol, or Entrez Gene ID, and we will find all experimental conditions where that gene is significantly changed in expression level.
The Butte Lab has been funded by the National Institute for General Medical Sciences to build a novel gene-expression-based classification scheme for diseases across the entire field of medicine.
Genotext is a text-mining tool to relate the free-text annotations of genome-scale experiments to the Unified Medical Language System (UMLS), published by the Butte Lab in Nature Biotechnology (January 2006).
Initially described in the Proceedings of the National Academy of Science (October 2000), Relevance Networks allow one to build correlational networks of features, whether they represent genes, phenotypic or clinical measurements.
