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Article

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies.

Genome biology - 17 Aug 2020

Faure Andre J, Schmiedel Jörn M, Baeza-Centurion Pablo, Lehner Ben

Abstract excerpt

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. A key innovation of DiMSum is the use of an interpretable error model that captures the main sources of...

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Identifiers

PMID: 32799905
DOI: 10.1186/s13059-020-02091-3
PMCID: PMC7429474

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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