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Article

A Statistical Guide to the Design of Deep Mutational Scanning Experiments.

Genetics - 1 Sept 2016

Matuszewski Sebastian, Hildebrandt Marcel E, Ghenu Ana-Hermina, Jensen Jeffrey D, Bank Claudia

Abstract excerpt

The characterization of the distribution of mutational effects is a key goal in evolutionary biology. Recently developed deep-sequencing approaches allow for accurate and simultaneous estimation of the fitness effects of hundreds of engineered mutations by monitoring their relative abundance across time points in a single bulk competition. Naturally, the achievable resolution of the estimated fitness effects...

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Identifiers

PMID: 27412710
DOI: 10.1534/genetics.116.190462
PMCID: PMC5012406

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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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