AI for Bioinformatics: Practical Skills for the Modern Researcher
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This session focuses on using AI language models to understand and process scientific language, from parsing papers and protocols to generating PubMed queries or cleaning metadata. You'll learn how to use AI to extract insights from documents and automate literature searches.
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.