AI for Bioinformatics: Practical Skills for the Modern Researcher
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Learn how to use AI to troubleshoot bioinformatics workflows, translate between R, Python, and Bash, and refactor scripts for clarity and reproducibility. Whether it's fixing a broken Nextflow command or understanding a confusing error, AI can help. Bring your own examples or use ours — this session is built on real-world frustrations.
This workshop provides graduate students in public universities with the necessary skills and tools to analyze biological data using high-performance computing resources.
Participants will acquire hands-on experience with industry-standard command-line tools (CLI) for DNA and RNA sequencing analysis, sequence manipulation and alignment, and pipeline management for automating complex workflows. They will also learn about differential expression analysis for identifying genes with altered expression levels, data visualization techniques for effectively presenting results, and the basics of artificial intelligence (AI) and machine learning (ML) in bioinformatics.
Upon completion of this workshop, graduates will be capable of using these powerful tools and methods to address real-world biological challenges and make significant contributions to bioinformatics research.