Biosequence Analysis in PRISM

Authors:
Ole Torp Lassen
Affiliations:
Research group PLIS: Programming, Logic and Intelligent Systems Department of Communication, Business and Information Technologies, Roskilde University, Roskilde, Denmark DK-4000
Venue:
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Year:
2008

Citing 3
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Abstract

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.