Computational Evolutionary Biology

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Advances in Bioinformatics
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Abstract

Evolution is the dynamic process where a species or population undergo change in heritable characteristics. The study of evolution is called evolutionary biology. The role of computational tools and algorithms has become important for the study of evolutionary process. The key molecular aspect of evolution is sequence variation which is detected by comparing DNA or protein sequences. Different computational tools have been developed to align the obtained sequences and identification of sequence variation. Phylogenetics is a representation of similarity or dissimilarity among the species or genes or proteins. The variation of DNA sequence occurs by substitution of the bases and thereby it affects amino acid sequence. Evolutionary dating has become a crucial tool for estimation of species divergence. The application of evolutionary genomics is spanning from studying human evolution to the evolution of varieties of viruses. Many viruses pose serious threats to human health. Thus, studying viral evolution has become extremely important from biomedical aspect.

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Correspondence to Subhamoy Banerjee .

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Banerjee, S. (2021). Computational Evolutionary Biology. In: Singh, V., Kumar, A. (eds) Advances in Bioinformatics. Springer, Singapore. https://doi.org/10.1007/978-981-33-6191-1_5

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  • DOI: https://doi.org/10.1007/978-981-33-6191-1_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6190-4

  • Online ISBN: 978-981-33-6191-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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