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MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes.

BMC bioinformatics | 2007

Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures prevents from further elucidation of differences among genomes. It continues to be interesting to develop new ab initio algorithms which not only accurately predict genes, but also facilitate comparative studies of prokaryotic genomes.

Pubmed ID: 17367537 RIS Download

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MED (tool)

RRID:SCR_013403

A non-supervised gene prediction algorithm for prokaryotic genomes with multivariate entropy distance method.

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