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RegEvol: detection of directional selection in regulatory sequences through phenotypic predictions and phenotype-to-fitness functions

2025-11-29

Abstract excerpt

Regulatory DNA controls when and where genes are expressed, making it a key driver of phenotypic evolution. Yet detecting selection in non-coding regions remains difficult, as most approaches rely on sequence conservation or changes in substitution rate rather than molecular effects. RegEvol bridges this gap by linking machine learning-based predictions of transcription factor binding to explicit evolutionary mode...

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Literature Corpus work
dc3987c8-f91f-5b7f-b3df-a5b55d68d1b6
DOI
10.1101/2025.11.26.690685
Open publication

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RegEvol: detection of directional selection in regulatory sequences through phenotypic predictions and phenotype-to-fitness functionsDOI 10.1101/2025.11.26.690685
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