NEW #Research published @NatureComms: Scientists in the @ZeitlingerLab developed PISA, a new #AI interpretation method that lets researchers see, at high resolution, what AI models learn from DNA sequences. Using that insight, the team discovered they could better control what the models learn next. By separating the biology they wanted to study from bias introduced by the experiment, the researchers were able to train a more focused model and uncover patterns in DNA they didn’t see before. That clearer view led to a surprising biological insight with implications for understanding gene regulation and, potentially, genetic disease: the way #DNA is wrapped around nucleosomes may help predict how it is organized in 3D inside the nucleus. Hear Investigator @JuliaZeitlinger, Ph.D., explain how PISA could become a broadly useful tool for scientists to help bridge the gap between powerful AI models and the biological mechanisms researchers want to understand. 🔗bit.ly/4gwN0Oy

Happy #NationalPostdocAppreciationWeek! Thank you, Sabrina, for mentoring the next generation of scientists at Stowers. #NPAW #NPAW2022 #postdoc #research

Congratulations to Assistant Investigator @NicolasRohner, PhD, who received an NIH Director's New Innovator Award from @NIH. This prestigious award supports unusually innovative, high-impact research from early career investigators. #NIHHighRisk bit.ly/2GlUYgH

Out today in @ScienceMagazine: a new publication from the Sánchez Alvarado Lab. The research, done with killifish & zebrafish, explores genetic mechanisms underlying uneven distribution of regenerative capacities in vertebrates. @Planaria1 @weiwang0128 science.sciencemag.org/conte…