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Machine learning-aided analyses of thousands of draft genomes reveal specific features of activated sludge processes.

Lin YeRan MeiWen-Tso LiuHongqiang RenXu-Xiang Zhang
Published in: Microbiome (2020)
Our work reveals that, although the bacterial species in different municipal WWTPs could be different, they may have similar deterministic functional features that allow them to adapt to the AS systems. Also, we provide valuable genome resources and a novel approach for future investigation and better understanding of the microbiome of AS and other ecosystems. Video Abtract.
Keyphrases
  • machine learning
  • genome wide
  • wastewater treatment
  • climate change
  • dna methylation
  • gene expression