mGene.web offers pre-trained models for the recognition of gene structures including untranslated regions in an increasing number of organisms. mGene.web additionally allows to train the system for other organisms on the push of a button, a functionality that greatly accelerates the annotation of newly sequenced genomes. The system is built in a highly modular way, such that individual components of the framework, like the promoter prediction tool or the splice site predictor, can be used autonomously. The underlying gene finding system mGene is based on discriminative machine learning techniques and its high accuracy has been demonstrated in an international competition on Nematode genomes. mGene.web is free of charge, and can be used for eukaryotic genomes of small to moderate size (several hundred Mbp).

mGene.web is described in detail here and is available at http://galaxy.fml.mpg.de. Instructions can be found at https://mgene.org/web.