This proposal will be awarded using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
With this EArly-concept Grants for Exploratory Research (EAGER) proposal, the team aims to demonstrate that BOINC can be an efficient platform for a wide class of applications employing a probabilistic inference based on Gibbs sampling. Specifically, the team expects to (i ) provide an architecture by which Gibbs sampling applications can exploitBOINC and (ii ) take advantage of the Gibbs sampling interface for BOINC by converting the Phylogenetic Gibbs Centroid Sampler, the most powerful version of a 16-year-established molecular biology algorithm that yet needs a boost to solve gene regulatory problems with genome-scale sequence data sets.
