System Biology

Systems biology is the study of biological systems whose behavior cannot be diminished to the linear sum of their parts function. System biology does not accordingly include vast number of components or large datasets, like in genomics or connectomics, but usually requires quantitative modeling methods imitated from physics. This ability to design predictive, multiscale models to discover new biomarkers for disease, stratify patients based on unique genetic profiles, and target drugs and other treatments. Systems biology, creates the potential for entirely new kinds of analysis, and drives constant innovation in biology-based technology and computation. Computational biology is a main part of this field.

  • Computational modeling and bioinformatics
  • Approach in trancriptomics, metabolomics and high throughput techniques
  • Emerging field of Functional genomics and molecular biology
  • Cancer system biology
  • 3D structure, epigenetics
  • Data integration, modeling and prediction

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