HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data.

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• High-throughput sequencing generates vast omics data, necessitating advanced analytical tools.
• Comprehensive analysis and visualization of this data are crucial for scientific discovery.

Purpose of the Study:

• To introduce HiOmics, a novel cloud-based platform for integrated omics data analysis.
• To provide a scalable and reproducible solution for processing large-scale omics datasets.

Main Methods:

• HiOmics utilizes a user-friendly interface built with the Element Plus framework.
• Docker container technology ensures analysis reliability and reproducibility.
• Workflow Description Language and Cromwell engine facilitate portable and complex data analysis.
• DataCheck, a Golang-based tool, handles data format verification and conversion.
• Leverages public cloud object storage and batch computing for large-scale data handling.

Main Results:

• The platform integrates nearly 300 specialized plugins for diverse omics data analysis.
• Ensures data analysis portability and simplifies examination of intricate datasets.
• Enables efficient storage and processing of large-scale omics data.
• Maintains user resource independence within the cloud environment.

Conclusions:

• HiOmics provides a robust, scalable, and user-friendly solution for comprehensive omics data analysis.
• The platform enhances reproducibility and portability in bioinformatics workflows.
• Facilitates efficient handling of large-scale omics data, supporting scientific research.