A Multi-Omics Dataset for Functional Gene Mining in Animals

This dataset provides 61191 individual level omics data (WGS, RNA Seq, ChIP Seq, and ATAC Seq) and genome annotation information from 21 animal species, with an effective data size of 2.8 TB. In addition, this dataset also includes gene and phenotype entity recognition data obtained based on deep learning algorithms. Overall, this multi omics dataset can be used for gene discovery and functional validation of important agricultural traits, providing valuable resources for cross species comparative research and better serving the construction of animal economic trait key gene identification models and algorithm research.

本数据集提供了来自21个动物物种的61191条个体水平组学数据（WGS、RNA Seq、ChIP Seq及ATAC Seq）与基因组注释信息，有效数据量达2.8太字节（TB）。此外，该数据集还包含基于深度学习算法获取的基因与表型实体识别数据。总体而言，这一多组学数据集可用于重要农业性状的基因发现与功能验证，为跨物种比较研究提供宝贵资源，从而更好地服务于动物经济性状关键基因识别模型的构建与算法研究。