Systems Biology & Computational Biology

Systems biology is the computational and mathematical modelling of complex biological systems. An emerging engineering approach applied to biological scientific research, systems biology is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological research. Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, homology, genomics, ecology, evolution, anatomy, neuroscience, and visualization.

 

Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological, behavioural, and social systems. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, homology, genomics, ecology, evolution, anatomy, neuroscience, and visualization.

  • Multicellular systems biology
  • Pathways and networks
  • Application of LC-MS in plant metabolomics
  • Neurodegenerative diseases
  • Xenobiotics

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