AI for Bioinformatics: Practical Skills for the Modern Researcher
When
Where
This session introduces you to how AI models process biological data like images, protein structures, and sequences. We will discuss tools such as AlphaFold for structure prediction, Cellpose for cell segmentation, DeepLabCut for motion tracking, and DeepVariant for sequence alignments.
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.