Corpus ID: 235694481

A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant

@inproceedings{Hannaford2021ASB,
  title={A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant},
  author={Naomi E. Hannaford and Sarah E. Heaps and Tom M. W. Nye and Thomas P. Curtis and Ben Allen and Andrew Golightly and Darren J. Wilkinson},
  year={2021}
}
Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of the complex network of interactions therein is essential to maximising not only current operational efficiencies, but also for the effective design of new treatment technologies. Metagenomics offers an insight into these dynamic systems through the analysis of the microbial DNA sequences present. Unique taxa are… Expand

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