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Novel Organism Verification and Analysis (NOVA) study: identification of 35 clinical isolates representing potentially novel bacterial taxa using a pipeline based on whole genome sequencing.

Veronika MuiggHelena M B Seth-SmithKai-Manuel AdamMaja Weisser-RohacekVladimira HinićAnnette BlaichTim RoloffLaurence LacroixHanna SchmidMaurus KohlerLukas GrafDylan M WinterfloodPascal SchlaepferDaniel Goldenberger
Published in: BMC microbiology (2024)
Our new algorithm proved to be a powerful tool for detection and identification of novel bacterial organisms. Publicly available clinical and genomic data may help to better understand their clinical and ecological role. Our identification of 35 novel strains, 7 of which appear to be clinically relevant, shows the wide range of undescribed pathogens yet to define.
Keyphrases
  • bioinformatics analysis
  • machine learning
  • gram negative
  • climate change
  • electronic health record
  • big data
  • multidrug resistant
  • antimicrobial resistance
  • loop mediated isothermal amplification
  • genome wide