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Find and deal with motifs in biological sequence data. Representing DNA (or RNA or proteins) in a neural network can be difficult since input sequences can have different lengths. One way to get around this problem is to deal with sequences by finding common motifs, and counting the number of times those motifs occur in a sequence. This information can then be used for creating the neural networks, with occurances of motifs going into the network instead of raw sequence data.