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Published in:
2006 | OriginalPaper | Chapter
Modeling Genome Evolution with a DSEL for Probabilistic Programming
Authors : Martin Erwig, Steve Kollmansberger
Published in: Practical Aspects of Declarative Languages
Publisher: Springer Berlin Heidelberg
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Many scientific applications benefit from simulation. However, programming languages used in simulation, such as C++ or Matlab, approach problems from a deterministic procedural view, which seems to differ, in general, from many scientists’ mental representation. We apply a domain-specific language for probabilistic programming to the biological field of gene modeling, showing how the mental-model gap may be bridged. Our system assisted biologists in developing a model for genome evolution by separating the concerns of model and simulation and providing implicit probabilistic non-determinism.