农业大数据学报2025，Vol.7Issue(1)：96-106,11.DOI:10.19788/j.issn.2096-6369.100039
一种面向功能基因挖掘的动物多组学数据集
A Multi-Omics Dataset for Functional Gene Mining in Animals
摘要
Abstract
Single-omics data alone is insufficient to comprehensively reveal the complex molecular mechanisms of gene regulation traits.Integrating different types and levels of biological omics data is of great significance for understanding the complex molecular networks within organisms.This dataset provides individual-level omics data(WGS,RNA-Seq,ChIP-Seq,and ATAC-Seq)and genome annotation information for 61,191 individuals from 21 animal species,with an effective data size of 2.8 TB.Additionally,this dataset includes gene and phenotype entity recognition data obtained through deep learning algorithms.Overall,this multi-omics dataset can be used for gene discovery and functional validation of agriculturally important traits,offering valuable resources for cross-species comparative studies.It also supports the construction of models for identifying key genes associated with economic traits in animals and facilitates algorithm research.关键词
多组学数据/跨物种/功能基因挖掘/个体水平/深度学习Key words
multi-omics data/cross-species/functional gene mining/individual level/deep learning引用本文复制引用
刘洪,窦婧文,王越,廖勇,刘小磊,李新云,赵书红,付玉华..一种面向功能基因挖掘的动物多组学数据集[J].农业大数据学报,2025,7(1):96-106,11.基金项目
国家自然科学基金面上项目(32272841) （32272841）
湖北国际科技合作项目(2022EHB055). （2022EHB055）
