2008 | OriginalPaper | Buchkapitel
Biosequence Analysis in PRISM
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In this work, we consider probabilistic models that can infer biological information solely from biological sequences such as DNA. Traditionally, computational models for biological sequence analysis have been implemented in a wide variety of procedural and object oriented programming languages [1]. Models implemented using stochastic logic programming (SLP [2,3,4]) instead, may draw upon the benefits of increased expressive power, conciseness and compositionality. It does, however, pose a big challenge to design efficient SLP models.