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Chapter and Conference Paper
Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference
Probabilistic programming languages (PPLs) allow users to encode arbitrary inference problems, and PPL implementations provide general-purpose automatic inference for these problems. However, constructing infe...
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Article
Open AccessPublisher Correction: Universal probabilistic programming offers a powerful approach to statistical phylogenetics
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01922-8
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Article
Open AccessUniversal probabilistic programming offers a powerful approach to statistical phylogenetics
Statistical phylogenetic analysis currently relies on complex, dedicated software packages, making it difficult for evolutionary biologists to explore new models and inference strategies. Recent years have see...
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Article
Open AccessOpenBiodiv-O: ontology of the OpenBiodiv knowledge management system
The biodiversity domain, and in particular biological taxonomy, is moving in the direction of semantization of its research outputs. The present work introduces OpenBiodiv-O, the ontology that serves as the ba...
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Article
Open AccessVirtual pathway explorer (viPEr) and pathway enrichment analysis tool (PEANuT): creating and analyzing focus networks to identify cross-talk between molecules and pathways
Interpreting large-scale studies from microarrays or next-generation sequencing for further experimental testing remains one of the major challenges in quantitative biology. Combining expression with physical ...
