文献类型： 外文期刊
第一作者： Wang, Yifei
作者： Wang, Yifei;Pan, Xiangchun;Liao, Weili;Shen, Qingpeng;Cai, Jiali;Gong, Wentao;Tian, Yuhan;Xu, Dantong;Li, Yipeng;Li, Jiaqi;Zhang, Zhe;Yuan, Xiaolong;Jin, Weiwei;Gong, Jing
作者机构：
期刊名称：SCIENTIFIC DATA （ 影响因子：9.8； 五年影响因子：10.8 ）
ISSN：
年卷期： 2024 年 11 卷 1 期
页码：
收录情况： SCI
摘要： Enhancers and the enhancer RNAs (eRNAs) have been strongly implicated in regulations of transcriptions. Based the multi-omics data (ATAC-seq, ChIP-seq and RNA-seq) from public databases, Pig-eRNAdb is a dataset that comprehensively integrates enhancers and eRNAs for pigs using the machine learning strategy, which incorporates 82,399 enhancers and 37,803 eRNAs from 607 samples across 15 tissues of pigs. This user-friendly dataset covers a comprehensive depth of enhancers and eRNAs annotation for pigs. The coordinates of enhancers and the expression patterns of eRNAs are downloadable. Besides, thousands of regulators on eRNAs, the target genes of eRNAs, the tissue-specific eRNAs, and the housekeeping eRNAs are also accessible as well as the sequence similarity of eRNAs with humans. Moreover, the tissue-specific eRNA-trait associations encompass 652 traits are also provided. It will crucially facilitate investigations on enhancers and eRNAs with Pig-eRNAdb as a reference dataset in pigs.
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