RescueNet (Relative Synonymous Codon Usage Neural Network) uses the Self-Organizing Map neural network algorithm for codon usage anaysis and gene-prediction. In its gene prediction functionality, RescueNet can estimate multiple models of gene codon usage properties during training. This offers advantageous gene-finding performance in cases where a diverse number of codon usage patterns are displayed. Examples include metagenomic datasets and prokaryotic genomes where mutational pressure, translational efficiency and horizontal gene transfer have diversified the displayed codon usage patterns.
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Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models.
Mahony S, McInerney JO, Smith TJ, Golden A.
BMC Bioinformatics. 2004 Mar 5;5:23.