e-learning
Optimizing DNA Sequences for Biological Functions using a DNA LLM
Abstract
Prepare resources
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- to do
Learning Objectives
- pretraining LLM for DNA
- finetuning LLM
- zeroshot prediction for DNA variants and synthetic DNA sequence generation.
Licence: Creative Commons Attribution 4.0 International
Keywords: AI & ML, ELIXIR, Large Language Model, Statistics and machine learning, jupyter-notebook, work-in-progress
Target audience: Students
Resource type: e-learning
Version: 1
Status: Draft
Prerequisites:
- Deep Learning (without Generative Artificial Intelligence) using Python
- Fine-tuning a LLM for DNA Sequence Classification
- Foundational Aspects of Machine Learning using Python
- Generating Artificial Yeast DNA Sequences using a DNA LLM
- Introduction to Python
- Neural networks using Python
- Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM
- Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences
- Python - Warm-up for statistics and machine learning
Learning objectives:
- pretraining LLM for DNA
- finetuning LLM
- zeroshot prediction for DNA variants and synthetic DNA sequence generation.
Date modified: 2025-04-17
Date published: 2025-04-17
Contributors: Anup Kumar, Björn Grüning, Bérénice Batut, olisand
Scientific topics: Statistics and probability
External resources:
Activity log
