mutscan—a flexible R package for efficient end-to-end analysis of multiplexed assays of variant effect data

Overview of attention for article published in Genome Biology, June 2023

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So far, Dimensions has found 5 publications that cite this research output.

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Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage

Article in Genome Biology (May 2024)

Minimum information and guidelines for reporting a multiplexed assay of variant effect

Article in Genome Biology (April 2024)

MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis and allostery from deep mutational scanning data

Preprint in bioRxiv (January 2024)

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