In order to comprehend biological systems and interactions, Computational Biology uses data analysis, mathematical modeling, and computer simulations. The discipline has roots in applied mathematics, chemistry, and genetics and sits at the nexus of computer science, biology, and big data. Biological computing, a branch of computer engineering that applies bioengineering to the construction of computers, is distinct from it. The study of anatomical form and shape at the visible or large anatomical scale (display style 50-100 mu) of morphology is known as computational anatomy. For modelling and simulating biological structures, it entails the development of computer, mathematical, and data-analytical techniques. Instead of concentrating on the medical imaging equipment, it emphasizes the anatomical structures being examined. Computational anatomy is a branch of medical imaging and bioengineering that focuses on the extraction of anatomical coordinate systems at the morpheme scale in 3D thanks to the availability of extensive 3D data via technologies like magnetic resonance imaging. Computational anatomy was initially conceptualised as a generative model of shape and form derived from exemplars and manipulated through transformations.
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