Tan Suxu, Wang Wenwen, Jie Wencai, Liu Jinding
Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA.
School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL 36849, USA.
Comput Struct Biotechnol J. 2022 Jul 11;20:3676-3684. doi: 10.1016/j.csbj.2022.07.015. eCollection 2022.
The publicly archived RNA-seq data has grown exponentially, while its valuable information has not yet been fully discovered and utilized, such as alternative splicing and its integration with gene expression. This is especially true for fish species which play important roles in ecology, research and the food industry. Furthermore, there is a lack of online platform to analyze users' new data individually and jointly with existing data for the comprehensive analysis of alternative splicing and gene expression. Here, we present FishExp, a web-based data platform covering gene expression and alternative splicing in 26,081 RNA-seq experiments from 44 fishes. It allows users to query the data in a variety of ways, including gene identifier/symbol, functional term, and BLAST alignment. Moreover, users can customize experiments and tools to perform differential/specific expression and alternative splicing analysis, co-expression and cross-species analysis. In addition, functional enrichment is provided to confer biological significance. Notably, users are allowed to submit their own data and perform various analyses using the new data alone or alongside existing data in FishExp. Results of retrieval and analysis can be visualized on the gene-, transcript- and splicing event-level webpage in a highly interactive and intuitive manner. All data in FishExp can be downloaded for more in-depth analysis. The manually curated sample information, uniform data processing and various tools make it efficient for users to gain new insights from these large data sets, facilitating scientific hypothesis generation. FishExp is freely accessible at https://bioinfo.njau.edu.cn/fishExp.
公开存档的RNA测序数据呈指数级增长,但其有价值的信息尚未得到充分发掘和利用,比如可变剪接及其与基因表达的整合。对于在生态、研究和食品工业中发挥重要作用的鱼类物种而言尤其如此。此外,缺乏一个在线平台来单独分析用户的新数据,并将其与现有数据结合起来,以全面分析可变剪接和基因表达。在此,我们展示了FishExp,这是一个基于网络的数据平台,涵盖了来自44种鱼类的26081个RNA测序实验中的基因表达和可变剪接。它允许用户通过多种方式查询数据,包括基因标识符/符号、功能术语和BLAST比对。此外,用户可以定制实验和工具,以进行差异/特异性表达和可变剪接分析、共表达和跨物种分析。此外,还提供功能富集以赋予生物学意义。值得注意的是,用户可以提交自己的数据,并单独使用新数据或与FishExp中的现有数据一起进行各种分析。检索和分析结果可以在基因、转录本和剪接事件层面的网页上以高度交互和直观的方式可视化。FishExp中的所有数据均可下载以进行更深入的分析。人工整理的样本信息、统一的数据处理和各种工具,使用户能够高效地从这些大数据集中获得新见解,促进科学假设的产生。可通过https://bioinfo.njau.edu.cn/fishExp免费访问FishExp。