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Article

popDMS infers mutation effects from deep mutational scanning data.

Bioinformatics (Oxford, England) - 2 Aug 2024

Hong Zhenchen, Shimagaki Kai S, Barton John P

Abstract excerpt

SUMMARY: Deep mutational scanning (DMS) experiments provide a powerful method to measure the functional effects of genetic mutations at massive scales. However, the data generated from these experiments can be difficult to analyze, with significant variation between experimental replicates. To overcome this challenge, we developed popDMS, a computational method based on population genetics theory, to infer the...

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Identifiers

PMID: 39115383
DOI: 10.1093/bioinformatics/btae499
PMCID: PMC11335369

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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