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Inicio  /  Computation  /  Vol: 11 Par: 8 (2023)  /  Artículo
ARTÍCULO
TITULO

Genomic Phylogeny Using the MaxwellTM Classifier Based on Burrows?Wheeler Transform

Jacques Demongeot    
Joël Gardes    
Christophe Maldivi    
Denis Boisset    
Kenza Boufama and Imène Touzouti    

Resumen

Background: In present genomes, current relics of a circular RNA appear which could have played a central role as a primitive catalyst of the peptide genesis. Methods: Using a proximity measure to this circular RNA and the distance, a new unsupervised classifier called MaxwellTM has been constructed based on the Burrows?Wheeler transform algorithm. Results: By applying the classifier to numerous genomes from various realms (Bacteria, Archaea, Vegetables and Animals), we obtain phylogenetic trees that are coherent with biological trees based on pure evolutionary arguments. Discussion: We discuss the role of the combinatorial operators responsible for the evolution of the genome of many species. Conclusions: We opened up possibilities for understanding the mechanisms of a primitive factory of peptides represented by an RNA ring. We showed that this ring was able to transmit some of its sub-sequences in the sequences of genes involved in the mechanisms of the current ribosomal production of proteins.

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