iFish:一个全面的多主题数据库,用于鱼类遗传学,转录调节和表观遗传学研究
Ruoyan Liu1, Qin Tang2, Peng Sun2
1Hubei Hongshan Laboratory, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Nucleic acids research
|October 15, 2025
概括
iFish数据库整合了多种多种鱼类数据,包括88种物种的基因组,转录组和表观组信息. 该资源加速了渔业和水产养殖领域的遗传和表观遗传研究.
科学领域:
- 水产养殖和渔业科学 水产养殖和渔业科学
- 基因组学和生物信息学
- 分子生物学分子生物学
背景情况:
- 鱼类多学科数据的快速增长为渔业和水产养殖研究带来了挑战和机遇.
- 整合各种数据集对于全面了解鱼类生物学至关重要.
研究的目的:
- 推出iFish,一个综合数据库,整合88种鱼类的多omics数据.
- 为访问和分析基因组,转录基因组,表观基因组和蛋白质基因组数据提供一个用户友好的平台.
主要方法:
- 精选和集成的全基因组测序,RNA-seq,miRNA-seq和表观遗传测序数据集.
- 包含蛋白质组学数据,基因注释条目和转录因子信息.
- 开发了TF监管网络,基因共同表达网络,并进行了跨物种保护分析.
主要成果:
- 从全基因组数据中识别了数百万个单核酸多态和插入/删除.
- 数以百万计的RNA (mRNA,lncRNA,circRNA) 和成千上万的miRNA.
- 生成了表观遗传修饰的全基因组地图和蛋白质表达特征.
- 标注了超过192,000个转录因子,并构建了监管网络.
结论:
- iFish为推进鱼类遗传,转录调节和表观遗传研究提供了一个有价值的综合资源.
- 该数据库将加速基因改进和水产养殖中的实际应用.
- iFish支持全球研究人员的交互式数据探索,可视化和下载.
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