I'm skeptical. Machine learning algorithms are only as good as the training data you can provide them. There are lots of tools in genetic analysis you can use to try to understand function of some sequence (e.g. looking at conservation or homology). I don't see where deep learning would provide new value on top of hand-built statistical models that are already in use. (Geneticists have known about machine learning for a long time...)Obligatory reference: https://xkcd.com/1831
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