In PLOS Genetics, researchers from Pennsylvania State University and Florida Atlantic University present a computational tool known as "Sweep inference using regularized FDA [functional data analysis] with wavelets," or SURFDAWave, which is designed for modeling genetic diversity and using those patterns to pick up signs of selection. The method "translates measures of genetic diversity calculated in genomic windows to functional data," they write.