Review on characterizing noncoding variation in evolution is published!
A review paper Massively parallel approaches for characterizing noncoding functional variation in human evolution has been published in Current Opinions in Genetics & Development. Stephen Rong and Elise Root worked on this paper that you can read here! We are excited to highlight all the ways people are currently using high-throughput methods like MPRAs, CRISPR screens, and machine learning to study how changes in the noncoding genome have driven human evolution.