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Abstract:
In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points from which regions encoding pro� teins start, the so�called translation initiation sites (TIS). This can be modeled as a classification prob� lem. We demonstrate the power of support vector machines (SVMs) for this task, and show how to suc� cessfully incorporate biological prior knowledge by engineering an appropriate kernel function.
