In image compression, a large file that could be cumbersome to store or share loses a small amount of visual information. This "lossiness" largely preserves the image while vastly reducing its file size—and serves as the inspiration for a new research direction in genomics, according to Justin Pritchard, assistant professor of biomedical engineering.
