University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for studying the genome and created a machine-learning tool to correct it. The free tool could improve the reliability of both conventional and single-cell data generated using this method, giving researchers a clearer view of how gene activity is controlled in health and disease and providing stronger foundations for future diagnostic and drug-development efforts. ...read more read less