Using R for Visualization of Virological Data

This advanced training program is designed for professionals in virology, genetics, epidemiology, and bioinformatics who aim to develop expertise in data visualization using the R programming language. The course provides comprehensive coverage of R core functionality while introducing powerful packages including tidyverse, ggplot2, tidytree, and ggtree for creating sophisticated graphical representations of virological data.

Participants will master fundamental principles of data analysis and visualization specific to virology research, with all concepts applied through hands-on exercises using real-world datasets. The curriculum places particular emphasis on interpreting visualized data within epidemiological contexts and viral dynamic studies. Through practical implementation, attendees will develop a thorough understanding of the complete data processing pipeline - from raw data management to effective visualization and statistical analysis. The course not only covers theoretical foundations but also focuses on developing efficient, reproducible coding practices for research applications.

By completion, participants will have acquired both the conceptual framework and practical skills necessary to address contemporary challenges in virological research. The training emphasizes the transformation of complex virological data into clear, actionable visual insights while establishing robust workflows for scientific analysis.