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Exploring oral bacterial compositional network in two oral disease groups using a convergent approach of NGS-molecular diagnostics.

Jinuk JeongKung AhnKyeongeui YunMinseo KimYeseul ChoiMiyang HanSeyoung MunYeon-Tae KimKyung Eun LeeMoon-Young KimYongju AhnKyudong Han
Published in: Genes & genomics (2024)
Our study introduced a novel approach that can compensate for the difficulty of identifying an accurate bacterial compositional network at the species level due to unclear taxonomy classification by using the convergent approach of NGS-molecular diagnostics. Ultimately, we suggest that our experimental approach and results could be potential reference materials for researchers who intend to prevent oral disease by determining the correlation between oral health and bacterial compositional network according to the changes in the relative frequency for nitrate-reducing species.
Keyphrases
  • oral health
  • machine learning
  • nitric oxide
  • deep learning
  • high resolution
  • single molecule
  • drinking water