Machine-learning tool enhances prediction of splice-altering genetic variants

Researchers introduced Introme, a machine-learning tool that integrates multiple-splice prediction tools, additional splicing rules, and gene architecture features to evaluate the likelihood of a variant impacting splicing. The study was done by Patricia Sullivan, Velimir Gayevskiy, and several others and published by BioMed Central (BMC). Read more…