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Data analysis for : Sequence-based chromatin activity modeling and regulatory impact prediction of genetic variants in farmed animals using deep learning

Year: 2025

Type: article

Abstract: Data analysis for : Sequence-based chromatin activity modeling and regulatory impact prediction of genetic variants in farmed animals using deep learning

Source: Figshare

DOI: 10.6084/m9.figshare.29433326

Author: NGUYEN, THANH DAT

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Zero hunger

Open Access status: green

OpenAlex ID: W6902392870

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