Recorded webinar

LLMs in bioinformatics Q&A session

Join us for a live panel discussion as part of our ongoing webinar series, Large Language Models and their applications in bioinformatics. This interactive Q&A session offers attendees the opportunity to engage with speakers from the series, ask new questions, and revisit key discussions. 

You can submit your questions for the panel in advance using this document - Questions for the panel

The panel will review and prioritise the questions submitted in this document, along with those asked throughout the series, before opening the floor to live queries from participants.

To find more details on the webinars from this series, visit the event webpage: https://www.ebi.ac.uk/training/events/large-language-models-and-their-applications-bioinformatics/ 

Who is this course for?

This webinar is designed for bioinformaticians, computational biologists, data scientists, and researchers interested in applying AI and language models to biological problems.

This event is part of a webinar series exploring the revolutionary potential of Large Language Models (LLMs) in bioinformatics and computational biology. For details on all topics covered in this series and registration information, please visit the following link: Large Language Models and their applications in Bioinformatics

Outcomes

By the end of the webinar you will be able to:

  • Summarise the main ideas from the webinar series to get a broad understanding of how LLMs are used in bioinformatics
  • Articulate connections between different aspects of LLM applications (from technical architecture to domain-specific implementations)
  • Apply insights from case studies (InterPro, RNAcentral, BioChatter, CancerModels.Org) to participants' own research challenges
  • Identify emerging trends and opportunities at the intersection of LLMs and bioinformatics

DOI_disc_logo DOI: 10.6019/TOL.LLMs_panel_discussion-w.2025.00001.1

EBI Resources

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Duration: 01:10:08
16 April 2025
Online
Free
Contact
Ajay Mishra

Organisers

Speakers

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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