Our new article published today in Briefings in Bioinformatics, describing CaliBayes (Bayesian inference for parameter distributions in SBML models, including discrete stochastic models) and BASIS (a tool for simulating cohorts of stochastic simulations from an SBML model and storing the results). Both of these systems are accessible as webservices and there are various convenient Python, Java and R client libraries to make consuming these webservices extremely straightforward. Both systems make significant computing power at Newcastle University publicly available.
Free access to .pdf
The DOI entry for the article is now working:
10.1093/bib/bbp072
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