New tool FIRE detects copy-specific differences in human gene regulation
Researchers at the University of Utah Health developed a machine learning tool called FIRE to analyze differential gene regulation between maternal and paternal chromosomes.
Tool identifies crucial genome regions
The new method pairs machine learning with advanced DNA sequencing to find important functional areas. This approach allows scientists to see how genes are turned on or off differently from each parent. Only about 1% of the genome codes for proteins, while the rest contains these regulatory switches.
Study published in journal Cell
Mitchell R. Vollger led the team that described results in the journal Cell. The researchers found that lasting changes in gene regulation can cause serious health problems. Detecting copy-specific differences helps pinpoint DNA changes behind hereditary diseases.
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