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Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Expression-based systems that use only native alignments tend to produce exon-intron structures that are quite accurate. Their primary limitation is that there are many genomes for which little or no ...