Dig is a computational method that leverages transfer-learning to test for positive selection across arbitrary genomic elements in arbitrary cohorts while requiring the resources only of a personal computer
https://anaconda.org/mutation_density/digdriver/badges/version.svg
https://anaconda.org/mutation_density/digdriver/badges/latest_release_date.svg
https://anaconda.org/mutation_density/digdriver/badges/latest_release_relative_date.svg
https://anaconda.org/mutation_density/digdriver/badges/platforms.svg
https://anaconda.org/mutation_density/digdriver/badges/license.svg
https://anaconda.org/mutation_density/digdriver/badges/downloads.svg