Prediction Made Better

Artificial Intelligence for Gene Therapy and Gene Diagnostics

AccuMatch™

Patent-pending algorithms

For scientists that predict how strongly a chemical gene probe will match its target gene.

Unmet Medical Need

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

Covid-19

From detection to cure, DNA Analytics' algorithms identify Sars-Cov2 primers and probes for clinically significant mutations.

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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.

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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.

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Value Proposition

By improving prediction of gene probe match strength, scientists will get the right gene match the first time, reduce development time and costs, and get life-saving products to market faster.