DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies
André J. Faure, Jörn M. Schmiedel, Pablo Baeza-Centurión, Ben Lehner
DiMSum is a pipeline for analyzing deep mutational scanning data that provides variant fitness estimates and error modeling to identify experimental issues.