Training materials
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e-learning
Annotate, prepare tests and publish Galaxy workflows in workflow registries
•• intermediateFAIR Using Galaxy and Managing your Data workflows -
e-learning
Fine-tuning a LLM for DNA Sequence Classification
•• intermediateStatistics and probability Large Language Model Statistics and machine learning ai-ml elixir jupyter-notebook -
e-learning
Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences
•• intermediateStatistics and probability Large Language Model Statistics and machine learning ai-ml elixir jupyter-notebook -
e-learning
Optimizing DNA Sequences for Biological Functions using a DNA LLM
•• intermediateStatistics and probability Large Language Model Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM
•• intermediateStatistics and probability Large Language Model Statistics and machine learning ai-ml elixir jupyter-notebook -
e-learning
Generating Artificial Yeast DNA Sequences using a DNA LLM
•• intermediateStatistics and probability Large Language Model Statistics and machine learning ai-ml elixir jupyter-notebook -
e-learning
Genome annotation with Braker3
•• intermediateGenomics Sequence assembly Biodiversity Zoology Plant biology Braker3 Genome Annotation biodiversity eukaryota jbrowse1 -
e-learning
Contributing to the Galaxy Training Network with GitHub
• beginnerContributing to the Galaxy Training Material -
e-learning
Deep Learning (without Generative Artificial Intelligence) using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress -
e-learning
Generative Artificial Intelligence and Large Langage Model using Python
•• intermediateStatistics and probability Statistics and machine learning ai-ml elixir jupyter-notebook work-in-progress