Evigan is a eukaryotic gene predictor which produces consensus gene models by
integrating multiple sources of evidence. Evigan can incorporate various types
of evidence such as gene models predicted by gene finders, EST matches,
protein-to-genome alignment, etc. Employing a Dynamic Bayesian Network(DBN),
Evigan makes predictions by infering the most likely consensus gene models
given observed source evidence.
Its model parameters are estimated by the Expectation-Maximization(EM)
algorithm, eliminating the need of curated training data.
You can download the source code here.