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Multi-omics integration identifies regulatory factors underlying bovine subclinical mastitis.

Mengqi WangNaisu YangMario LaterrièreDavid GagnéFaith OmonijoEveline M Ibeagha-Awemu
Published in: Journal of animal science and biotechnology (2024)
The integration of genomic and epigenomic data by multi-omics approaches in this study provided a better understanding of the molecular mechanisms underlying subclinical mastitis and identified multi-omics candidate discriminant signatures for subclinical mastitis, which may ultimately lead to the development of more effective mastitis control and management strategies.
Keyphrases
  • single cell
  • genome wide
  • electronic health record
  • dna methylation
  • big data
  • machine learning
  • copy number