HeatSeq Looks to Commercialize Melt Curve Algorithm to ID Infectious Bacteria | GenomeWeb

NEW YORK (GenomeWeb) – The developers of a machine learning-driven genotyping algorithm for analysis of high resolution melt (HRM) curves have launched a startup to commercialize the technology.

San Diego-based HeatSeq was founded in 2013 by Samuel Yang, now at Stanford University, and Stephanie Fraley, now at the University of California, San Diego, and is looking to create a PCR back-end platform that uses melt curve analysis to fingerprint DNA sequences and catalog them.

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