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AI predicts the effectiveness and evolution of gene promoter sequences

Year: 2022

Type: article

Source: Nature

DOI: 10.1038/d41586-022-00384-0

Author: Andreas Wagner

Institutions: University of Zurich, Stellenbosch University

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4220933371

FWCI: 0.57

Cites: 5

Cited by: 8

Related to: 10