In 2001, PubGene founders demonstrated one of the first applications of text mining to research in biomedicine (i.e., biomedical text mining). They went on to create the PubGene public search engine that identifies relationships between genes, proteins and other biomedical terms in MEDLINE literature. The connections are visualized as networks to provide an overview of possible relationships between terms and facilitate medical literature retrieval for relevant sets of articles implied by the network display.
Coremine Medical is an extension of the approach to include relationships between biomedical terms in general. That is, whereas the PubGene search engine is a gene-centric approach, Coremine Medical documents relationship between a huge range of biomedical terms, including Medical Subject Heading, Gene Ontology, Pharmaceutical, Chemical as well as Gene and Protein terms.
PubGene developers have also demonstrated a network approach to visualizing protein sequence similarity as well as other tools for presenting information on sequences and polymorphisms. Developers have shown special talents for handling complex data sets and rendering graphic interpretations.
To learn more about the PubGene company and its products, visit pubgene.com.