Computational Systems Biology

Computational Systems Biology reflects conviction that the investigation of biological systems is best drawn nearer by fusing various points of read. We have a tendency to unite various qualities of controls that supplement one another to disentangle the complexness of biology. The thought incorporates anatomy, physiology, cell and somatic cell biology, biology, developmental biology, biochemistry and biophysics. We have a tendency to work with animals, plants and microorganisms and our exploration traverses the amount of the organic chain of command from molecules to ecosystems. Our expansive scope of mastery incorporates: geneticists, palaeontologists, physiologists, behaviourists, systematises, morphologists, microbiologists, bioinformatician, evolutionary biologists, ecologists, biophysicists and biotechnologists.

  • Computational Bio modelling
  • Computational Genomics
  • Computational Neuroscience
  • Computational Pharmacology
  • Computational Evolutionary biology
  • Cancer Computational Biology

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