Xinlei (Sherry) Wang is the Jenkins Garrett professor of statistics and data science (IMAGE)
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Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint proteins known as transcriptional regulators that control how genes turn on and off.
“These proteins are central to many biological processes, including growth, development and disease,” said senior author Xinlei (Sherry) Wang, a Jenkins Garrett professor of statistics and data science.
In a study recently published in the peer-reviewed journal Nature Communications, Dr. Wang and her colleagues—Zeyu Lu, a postdoctoral researcher in her lab at UTA, and Lin Xu, a researcher at UT Southwestern Medical School—introduce a tool called Bayesian Identification of Transcriptional Regulators from Epigenomics-Based Query Regions Sets, or BIT.
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