Constructing an Interactive and Integrated Analysis and Identification Platform for Pathogenic Microorganisms to...

Area of Science:

• Bioinformatics
• Genomics
• Epidemiology

Background:

• Whole genome sequencing (WGS) is crucial for tracking pathogen origins and spread during outbreaks.
• Clinical and public health experts face challenges in effectively utilizing microbiome sequencing data.
• A need exists for accessible tools to analyze pathogen genomic data for public health surveillance.

Purpose of the Study:

• To develop a dynamic, interactive online platform for pathogen genomic data analysis.
• To empower public health professionals with user-friendly tools for infectious disease surveillance.
• To facilitate in-depth analysis and utilization of pathogen genomic data without requiring programming expertise.

Main Methods:

• The platform was built using Java and the VUE framework, employing the MVC pattern.
• Cloud computing services were utilized to integrate biological information analysis tools.
• The system provides an interactive visual interface for data analysis and result generation.

Main Results:

• The platform enables non-programming analysis of pathogen genomic data.
• Users can interactively set parameters via web pages to obtain visual analysis results.
• Results can be exported in various formats to support further research.

Conclusions:

• An interactive online bioinformatics analysis platform has been established.
• Complex genomic analysis processes are simplified through a cloud-based service.
• The platform facilitates real-time data mining and analysis for public health professionals.