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Encyclopedia of Bioinformatics and Computational Biology

  • 2nd Edition - January 16, 2025
  • Editors: Shoba Ranganathan, Mario Cannataro, Mohammad Asif Khan
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 3 2 3 - 9 5 5 0 2 - 7
  • eBook ISBN:
    9 7 8 - 0 - 3 2 3 - 9 5 5 0 3 - 4

Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the me… Read more

Encyclopedia of Bioinformatics and Computational Biology

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Bioinformatics and Computational Biology (BCB) combine elements of computer science, information technology, mathematics, statistics, and biotechnology, providing the methodology and in silico solutions to mine biological data and processes, for knowledge discovery.

In the era of molecular diagnostics, targeted drug design and Big Data for personalized medicine, computational methods for data analysis are essential tools for biochemistry, biology, biotechnology, pharmacology, biomedical and computer science, as well mathematics and statistics. New areas are emerging, and relatively isolated fields are becoming current hot research areas in BCB, such as Quantitative Biology, Computational Vaccinology, Epidemiology and Infection Diffusion, Synthetic Biology and Phenomics. The role of BCB in characterizing SARS-CoV-2 variants and facing the COVID-19 pandemic is just one example of how these tools can find us better prepared for such future events.

This Encyclopedia comprises three sections, covering Theory, Topics and Applications. The theoretical methodology underpinning BCB are described in the Theory section; Topics covers traditional areas such as phylogeny, as well as more recent areas such as translational bioinformatics, cheminformatics and environmental informatics; Applications provides guidance for commonly asked "how to" questions.

​​​​​​​Navigating the maze of confusing jargon and the plethora of software tools is often confronting for students and researchers alike. This comprehensive and unique resource provides up-to-date theory and application content to address molecular data analysis requirements, with precise definition of terminology, and lucid explanations by field experts.