Influenza Classification Suite: An automated Galaxy workflow for rapid influenza sequence analysis

Area of Science:

• Virology
• Computational Biology
• Immunology

Background:

• Influenza viruses constantly evolve, necessitating continuous monitoring of their genetic changes.
• Strain classification into clades is crucial for understanding viral evolution and its impact on immunity.
• Existing methods for clade assignment can be time-consuming and require specialized expertise.

Purpose of the Study:

• To develop and present a publicly available computational workflow for rapid clade mapping of influenza viruses.
• To automate the process of clade calling and antigenic site extraction for influenza strains.
• To provide a user-friendly tool for researchers to analyze circulating influenza strain evolution.

Main Methods:

• Development of the Influenza Classification Suite, a computational workflow implemented in the Galaxy platform.
• Input customization options for clade definition and amino acid index array files.
• Automation of clade assignment and extraction of antigenic site information.

Main Results:

• The Influenza Classification Suite enables rapid and high-resolution clade mapping of sequenced influenza viruses.
• The workflow automates critical steps in influenza strain analysis, making it accessible to a wider research community.
• The tool facilitates a deeper understanding of the evolutionary dynamics of circulating influenza strains.

Conclusions:

• The Influenza Classification Suite offers a significant advancement in the rapid analysis of influenza virus evolution.
• This tool can inform influenza vaccine effectiveness studies and guide decisions on vaccine reformulation.
• Enhanced understanding of viral evolution through this workflow supports public health strategies against influenza.