Training materials
Scientific topics: Data types and objects or Electron microscopy or Functional, regulatory and non-coding RNA or Machine learning or Metagenomics
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PAIR-code/understanding-umap
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mlabonne/llm-course
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Recorded webinar
Harmony in diversity: exploring the rich microbiomes of South American wildlife
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Recorded webinar
The Pathogens Portal: A gateway to vast biomolecular data for pathogen research
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Naviden/ML-intro-with-Python
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Recorded webinar
Strain-resolved approaches for human microbiome studies
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PickyBinders/geometric-learning-protein-structures-course
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EmilHvitfeldt/smltar
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pablo14/data-science-live-book
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning