Computational Biology of Diabetes

Computational meta-analysis can link environmental chemicals to genes and proteins involved in human diseases, thereby elucidating possible aetiologies. The recent rapid development of a variety of analytical platforms based on mass spectrometry and nuclear magnetic resonance have enabled identification of complex metabolic Syndrome phenotypes. Continued development of bioinformatics and analytical strategies has facilitated the discovery of causal links in understanding the pathophysiology of diabetes and its complications.

  • Atiologies
  • Spectrometry
  • Syndrome phenotypes
  • Bioinformatics
  • Pathophysiology

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