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Computational biology plays a crucial role in bioinformatics by providing mathematical models and computational simulations to understand biological data.
Computational biology and bioinformatics are two interrelated disciplines that hold a significant role in analysing and interpreting biological data. Computational biology, in particular, uses mathematical models, theoretical methods, and computational simulation techniques to study biological, behavioural, and social systems. It's essentially the application of data-analytical methods, mathematical modelling and computational simulation techniques to the study of biological, ecological, behavioural, and social systems.
In the context of bioinformatics, computational biology is used to develop algorithms and statistical models that help in understanding biological data. It's the engine that powers bioinformatics, providing the necessary tools and techniques to analyse and interpret the vast amounts of data generated in fields like genomics, proteomics, and metabolomics. For instance, computational biology can help in predicting protein structure from DNA sequences, a task that would be nearly impossible without mathematical models and computational simulations.
Moreover, computational biology also plays a significant role in managing and organising biological data. With the advent of high-throughput technologies, such as next-generation sequencing, the amount of biological data that is being generated is enormous. Computational biology provides efficient algorithms for storing, retrieving, and managing this data, making it accessible for further analysis.
In addition, computational biology is also used in the visualisation of biological data. It helps in creating graphical representations of complex biological systems, making it easier for researchers to understand and interpret the data. This is particularly important in fields like genomics, where the data is often multidimensional and complex.
In summary, computational biology is a fundamental component of bioinformatics. It provides the mathematical and computational tools necessary to analyse, interpret, manage, and visualise biological data. Without computational biology, it would be nearly impossible to make sense of the vast amounts of data generated in modern biological research.
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