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Press Release

08 September 2026

Stowers Institute partners with Google DeepMind and leading research institutions to help reveal the regulatory language of the human genome

Researchers provided biological expertise and feedback that helped guide the development of a new AI-powered resource released today. For the first time, scientists can explore a comprehensive map of more than 9 billion possible single-letter DNA changes through a web browser, helping them more quickly prioritize and interpret variants that may influence biology and disease and lay groundwork for future treatments.

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Press Release

25 August 2026

A clearer view of what AI learns from DNA

A team from the Zeitlinger Lab developed PISA, a new method for visualizing what deep-learning models learn from DNA at single-base resolution. By separating experimental bias from biological signal, the team was able to train a more focused model that revealed previously hidden DNA sequence features linked to nucleosome positioning and the genome’s larger three-dimensional organization. The work also shows how model interpretation can guide new experiments and help biologists move from AI prediction toward biological mechanism.

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What if...?

30 June 2026

What if solving one of biology's oldest mysteries could help shape the future of medicine?

The third story in the Institute's 'What If?' series follows Assistant Investigator Arvind Pillai, Ph.D., explores one of biology's deepest unanswered questions: How does evolution create something entirely new? By reconstructing ancient proteins that disappeared hundreds of millions, even billions, of years ago, Pillai's lab is uncovering the principles that gave rise to life's molecular machinery. Those same principles could one day help scientists engineer entirely new proteins capable of delivering drugs and treating disease. Discover how a lifelong fascination with nature's complexity became a scientific pursuit that stretches from Earth's distant past to the future of medicine.

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