Purifying selection and selective sweeps leave distinct genomic signatures that can be detected and distinguished using various summary statistics and computational methods.
The retrieved papers consistently demonstrate that different forms of selection, such as purifying selection and selective sweeps, leave distinct genomic footprints (such as reduced variation, altered site frequency spectra, and specific linkage disequilibrium patterns) that can be identified and distinguished using summary statistics, machine learning, and specialized statistical tools.