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DiMSum: An error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies
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Deep mutational scanning (DMS) enables multiplexed measurement of the effects of thousands of variants of proteins, RNAs, and regulatory elements. Here, we present a customizable pipeline, DiMSum, that represents an end-to-end solution for obtaining variant fitness and error estimates from raw sequencing data. |