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

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

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29433326
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Figshare
Genetic and phenotypic traits in livestock
article

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

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Abstract

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

Figshare
Zero hunger
Openalex Percentile: Top 55%
Genetic and phenotypic traits in livestock
DOIOpen Access PDFOpenAlex
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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 · Figshare (2025) | TGRS Research Map | TGRS