Detecting lateral genetic material transfer

Details Detecting lateral genetic material transfer Detecting lateral genetic material transfer

2012-04-12

arxiv.org/abs/1204.2601v1

Computer Science

Neural and Evolutionary Computing

Submitted to Applied Computational Intelligence and Soft Computing

Scientific paper

The bioinformatical methods to detect lateral gene transfer events are mainly based on functional coding DNA characteristics. In this paper, we propose the use of DNA traits not depending on protein coding requirements. We introduce several semilocal variables that depend on DNA primary sequence and that reflect thermodynamic as well as physico-chemical magnitudes that are able to tell apart the genome of different organisms. After combining these variables in a neural classificator, we obtain results whose power of resolution go as far as to detect the exchange of genomic material between bacteria that are phylogenetically close.

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