“Whether lists are 10 or 2000 genes in length, Literature Lab™ consistently identifies validating associations and emerging relationships in the published literature. Beyond this, Literature Lab™ often brings to light novel and unanticipated associations that may help expand the research in new and exciting directions. This is exemplified in a recent application note in which a gene list derived from high resolution mapping in a genome wide association study of Multiple Sclerosis (MS) susceptibility uncovered viral disease associations, several of which have not been previously linked with MS in the literature”, explains Damon Anderson, PhD, Vice President of Business Development.
Literature Lab™ works by first quantifying the strength of co-occurrence of each gene in a submitted gene list with any or all of 96,000 terms in the literature, based on MeSH ontology and proprietary domain designations. It then establishes significance of these associations by comparing the submitted gene list with ...
