DNA language models and AlphaGenome answer different questions about variants
Fair-Rain3366 · reddit · 2026-10-19
A clear explainer on two classes of genomic foundation models: DNA language models like Evo 2 score sequence likelihoods (original vs. mutated), but that score doesn't directly quantify expression changes. AlphaGenome instead learns from experimental measurements to predict readouts like gene expression and splicing, with scoring methods that vary by readout. Neither type establishes a diagnosis, and AlphaGenome's developers restrict it to research use. Links to DeepMind's docs and a guide/diagram (author-disclosed as AI-assisted).
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