Genomenon’s Automated Genomic Search Engine Mastermind Illuminates Current Trends in Genomic Literature – A Look at the Top Cited Variants Across the Scientific Literature

For this month’s “Company Spotlight” blog series we are taking a deeper look at Mastermind, an automated genomic search engine created by Genomenon, a University of Michigan spin-off. Mastermind, a comprehensive database of genomic disease-to-gene-to-variant associations, supports its users to search through millions of full text articles from the primary medical literature to identify variants of interest, prioritize them, and retrieve relevant articles for disease-gene-variant combinations. Rather than providing a regular Q&A with a company representative, we thought of illustrating the richness of Mastermind’s content and the associated functionalities via the retrieval of interesting citation data, as provided by Mark Kiel (CSO and co-Founder at Genomenon) and Lauren Chunn (Data Processing Intern at Genomenon). Specifically, the Genomenon team supplied a current trends analysis of widely cited variants within the genomic literature. Through this process they are able to paint a picture of the changing landscape of genomic research and medicine, from variants that have remained a common feature for decades to newly emerging variants over the last few years.

Genomenon is a 15 person company, headquartered in Ann Arbor, Michigan, and founded in 2014. To date, Genomenon has received $4.5M in funding (Angel, Venture investment and NIH SBIR Fast Track Grant), and has grown to become an independent company.

Mastermind is a genomic search engine comprising an index of titles, abstracts, and full text including figures and tables of 5.7 million prioritized primary articles. New Continue reading