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In this paper we discuss the use of universal models for solving several genomic sequence analysis problems. A number of typical genomic problems, e.g., approximate matching, segmentation, and clustering, can be phrased as specific modeling problems involving discrete variables, for which discrete regression models need to be estimated based on rather short data segments. Universal models are known...
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