Guo Cheng, Duan You, Ye Weidong, Zhang Wanting, Cheng Yingyin, Shi Mijuan, Xia Xiao-Qin
Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China.
iScience. 2023 Mar 31;26(4):106539. doi: 10.1016/j.isci.2023.106539. eCollection 2023 Apr 21.
With the rapid expansion of transcriptome studies in many fishes, a great number of RNA-seq data have been published, allowing for a more systematic understanding of the general profiles and details of gene expression in fish. FishGET is dedicated to gathering and curating fish RNA-seq data to discover more new RNAs, including mRNA and lncRNA, thereby getting a more complete reference transcriptome and providing more comprehensive and accurate transcriptome annotations. We obtained a total of 1362 RNA-seq paired-end data of 8 fishes from 97 different studies, and then we performed transcript assembly, meta-assembly, weighted gene co-expression network analysis (WGCNA), functional annotations, neighbor location annotation, lncRNA type annotation, homology annotation. To promote research into fish genes at the transcriptional level, we developed a user-friendly web interface that allows users to view all information and makes use of multiple types of dynamic interactive visualization services.
随着许多鱼类转录组研究的迅速扩展,大量RNA测序数据已被发表,这使得人们能够更系统地了解鱼类基因表达的总体概况和细节。FishGET致力于收集和整理鱼类RNA测序数据,以发现更多新的RNA,包括mRNA和lncRNA,从而获得更完整的参考转录组,并提供更全面、准确的转录组注释。我们从97项不同研究中总共获得了8种鱼类的1362个RNA测序双端数据,然后进行了转录本组装、元组装、加权基因共表达网络分析(WGCNA)、功能注释、邻位定位注释、lncRNA类型注释、同源性注释。为了促进鱼类基因在转录水平上的研究,我们开发了一个用户友好的网络界面,该界面允许用户查看所有信息,并利用多种类型的动态交互式可视化服务。