CGAL is a tool for computing genome assembly likelihoods. It computes the likelihood of reads with respect to the assembly and a statistical model which can be used as a metric for evaluating assemblies.


CGAL is described in the paper Computing Genome Assembly Likelihoods by Atif Rahman and Lior Pachter, submitted.