Are you a biomedical researcher searching for information on genes related to a particular disease, pathway, or process? Are you overwhelmed by the vast quantity of associated literature? Have you considered that some genes are more highly investigated than others, which leads to an overabundance of literature to review for some genes as well as a scarcity of information on others?
Geneshot is a new search engine created to bridge this gap and highlight understudied genes by mining publications for mentions of any genes with the search term(s), then prioritizing the genes. Searching for a biomedical term returns two ranked gene lists. The first contains genes reported in the literature and the second contains predicted genes identified via data integration from multiple sources. The underlying data sets are from PubMed, GeneRIF, AutoRIF (more comprehensive than the former), gene-gene co-expression matrix data using ARCHS4, and gene-gene co-occurrence matrix Tagger and Enrichr data. Geneshot can also facilitate hypothesis generation by assessing gene set novelty and proposing additional relevant genes to augment gene sets. A detailed description of the mining and prediction methodology is available in the Geneshot publication. Continue reading