SOURCE-LINKED INTELLIGENCE

Short Tandem Repeat Instability QuantIfier for Next-Generation sequencing

CORDIS · observation · Publication date unknown

totype development through our ERC Starting Grant TRANSIT-ND, we will transform our computational methods into a validated commercial product. Our solution combines novel filter-based algorithms with machine learning approaches to achieve superior accuracy and speed in STR analysis. Uniquely, it can quantify somatic instability - a crucial parameter for therapeutic development beyond the reach of existing tools. The project comprises comprehensive technical validation using large cohorts, matched tissue samples, and clinical cases. In parallel, we will develop market entry strategies, secure IP protection, and establish regulatory compliance pathways. Our dual-licensing model will serve both commercial users (pharmaceutical companies, clinical laboratories) and academic researchers. The market opportunity is substantial, driven by increasing investment in STR-targeting therapies and growing demand for comprehensive genetic testing. Our software will enable pharmaceutical companies to better evaluate therapeutic efficacy, help clinical laboratories identify at-risk individuals earlier

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR