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An Unsupervised Classifier for Whole-Genome Phylogenies, the Maxwell© Tool.

Joël GardesChristophe MaldiviDenis BoissetTimothée AubourgJacques Demongeot
Published in: International journal of molecular sciences (2023)
The development of phylogenetic trees based on RNA or DNA sequences generally requires a precise and limited choice of important RNAs, e.g., messenger RNAs of essential proteins or ribosomal RNAs (like 16S), but rarely complete genomes, making it possible to explain evolution and speciation. In this article, we propose revisiting a classic phylogeny of archaea from only the information on the succession of nucleotides of their entire genome. For this purpose, we use a new tool, the unsupervised classifier Maxwell, whose principle lies in the Burrows-Wheeler compression transform, and we show its efficiency in clustering whole archaeal genomes.
Keyphrases
  • machine learning
  • microbial community
  • circulating tumor
  • single cell
  • cell free
  • genome wide
  • healthcare
  • rna seq
  • decision making
  • social media