HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
W. Li, Zhining Zhang, Bo Xie, Yunlin He, Kangming He, Hong Qiu, Zhiwei Lü, Chunlan Jiang, Xuanyu Pan, Yuxiao He, Wenyu Hu, Wenjian Liu, Tengcheng Que, Yanling Hu
Abstract
Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.