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Microbiome time series data reveal predictable patterns of change.

Zuzanna KarwowskaPaweł SzczerbiakTomasz Kosciolek
Published in: Microbiology spectrum (2024)
This project developed innovative methods to analyze gut microbiome time series data, offering fresh insights into its dynamic nature. Unlike many studies that focus on static snapshots, we found that the healthy gut microbiome is predictably stable over time, with only a small subset of bacteria showing significant changes. By identifying groups of bacteria with diverse temporal behaviors and clusters that change together, we pave the way for more effective probiotic therapies and dietary interventions, addressing the overlooked dynamic aspects of gut microbiome changes.
Keyphrases
  • electronic health record
  • big data
  • quality improvement
  • genome wide
  • single cell
  • dna methylation
  • bacillus subtilis
  • artificial intelligence