In The News

31 August 2026
The Precision Revolution
From Kansas City Magazine, Kansas City’s hospitals and researchers are harnessing AI, genomics and precision medicine to create treatments tailored to each patient
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News
The Workman Laboratory received grant funding through a newly established award called Maximizing Investigators' Research Award (MIRA) from the National Institute of General Medical Sciences.

The Workman Laboratory received grant funding through a newly established award called Maximizing Investigators' Research Award (MIRA) from the National Institute of General Medical Sciences. The intent of a MIRA grant is to consolidate multiple project grants into one unified grant that supports the investigators' overall research program, thus providing greater stability and flexibility. MIRA grants are awarded for five years. The MIRA grant awarded to the Workman Lab consolidated previous grants held by Jerry Workman, PhD, and his colleague Susan Abmayr, PhD.
The Workman Lab was awarded a MIRA based on the lab’s research strategy of chromatin modifying complexes that includes a focus on the multi-subunit complexes SAGA and SWI/ SNF. Mutations in these and other complexes have been implicated in cancer and other diseases.
While chromatin modifying complexes can contain as many as 10-20 subunits, an overall view of the assembly and organization of the subunits within the complexes is critical to understanding the effects of mutations. And because mutations of different subunits often do not have the same effects on specific cancers, it is important to understand the individual subunit interactions and how they impact chromatin modifying activity.
In The News

31 August 2026
From Kansas City Magazine, Kansas City’s hospitals and researchers are harnessing AI, genomics and precision medicine to create treatments tailored to each patient
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In The News

26 August 2026
From InnotechInsider, Stowers is highlighted among leading research institutes integrating AI directly into biological research.
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News

25 August 2026
Reflecting on the 2026 Stowers Summer Scholars Program
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Press Release

25 August 2026
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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