Date: 14 - 15 November 2026

Loading map...

This two-day workshop focuses on the applications of large language models (LLMs) in bioinformatics. Participants will first be introduced to foundational machine learning (ML) concepts, followed by an in-depth exploration of LLMs and their growing role in bioinformatics. The proposed program will include lectures and hands-on labs covering LLM applications in genomics, proteomics, and natural language processing (NLP) Participants will learn how to use LLMs and which LLMs to use for coding in bioinformatics, gene prediction/annotation, protein structure/function analysis, and large-scale literature analysis in their research.

City: Edmonton

Region: Alberta

Country: Canada

Prerequisites:

Participants should have a basic understanding of bioinformatics and molecular biology. Familiarity with Python programming and command-line tools is required. Some prior exposure to LLMs concepts and tools would be beneficial, though not mandatory.

Learning objectives:

By the end of the workshop, participants will be able to: Explain the key concepts of large language models and their applications in bioinformatics, including genomics, proteomics, and general informatics. Apply LLMs to perform bioinformatics coding tasks. Utilize LLM-based tools for analyzing bioinformatics data in genomics, including gene prediction/annotation, protein structure/function prediction, and large-scale literature analysis. Integrate LLMs into bioinformatics workflows for research and analysis

Capacity: 30

Event types:

  • Workshops and courses

Instructors: David Wishart, Mark Berjanskii


Activity log