AccuMatch™
Patent-pending algorithms
For scientists that predict how strongly a chemical gene probe will match its target gene.
Unmet Medical Need
The unmet medical need is gene diagnostics, gene therapy, and gene editing for cancer, neurological diseases, hepatological diseases, retinal diseases, and rare genetic disorders.
Covid-19
From detection to cure, DNA Analytics' algorithms identify Sars-Cov2 primers and probes for clinically significant mutations.
3.2 Billion Possible Matches
DNA therapy and tests rely on a gene probe, which is a chemical compound that matches a gene. The challenge is that there are almost as many chromosome match locations as there are A, C, G, & T bases, which means 3.2 billion possible matches.
How It Works
Our platform enables scientists to model gene probe sequences, and through our statistical algorithms, to predict the melting temperature of the gene probe, to the gene. Melt temperature is the property most critical to gene probe success.
Every 1.0° Matters
When probe strength is not matched to gene, efficiency, specificity, and performance degrade quickly.
AccuMatch™ Differentiator
DNA Analytics is the first to improve match strength algorithms in over 20 years. Our best-case improvements are up to 7.0° C, compared to the 1998 landmark study of 0.5° C.
AccuMatch™ Differentiator
DNA Analytics is the first to improve match strength algorithms in over 20 years. Our best-case improvements are up to 7.0° C, compared to the 1998 landmark study of 0.5° C.
