New software detects genetic mutations

March 7, 2018

Adaptive VariationUsing a new machine learning approach, researchers at Brown's Center for Computational Molecular Biology found adaptive mutations in metabolic genes in a group of African hunter-gatherers. One mutation the software found is closely linked to a protein-altering mutation that is virtually absent in populations around the world, but has a frequency of 27 percent in the hunter-gatherer genome data.

Credit: Ramachandran lab / Brown University

Brown University researchers have developed a new machine learning technique that can track down beneficial genetic mutations and allow scientists to map the evolutionary changes of certain diseases and medical conditions.