ProSOM: Core promoter identification in the human genome

More and more genomes are being sequenced, and to keep up with the pace of sequencing projects, automated annotation techniques are required. One of the most challenging problems in genome annotation is the identification of the core promoter. Better core promoter prediction can improve genome annotation and can be used to guide experimental work. Comparing the average structural profile of transcribed, promoter and intergenic sequences demonstrates that the core promoter has unique features that cannot be found in other sequences. We show that unsupervised clustering by using self-organizing maps can clearly distinguish between the structural profiles of promoter sequences and other genomic sequences. An implementation of this promoter prediction program, called Pro- SOM, is available and has been compared with the state-of-the-art.

Abeel, T., Saeys, Y., Van de Peer, Y. (2008) ProSOM: Core promoter identification in the human genome. Proceedings of Benelearn 77-78.

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