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    Bioinformation Discovery: Data to Knowledge in Biology
    Bioinformation Discovery: Data to Knowledge in Biology
    Bioinformation Discovery: Data to Knowledge in Biology
    Ebook403 pages2 hours

    Bioinformation Discovery: Data to Knowledge in Biology

    By Pandjassarame Kangueane

    ()

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    About this ebook

    This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics. 

    LanguageEnglish
    PublisherSpringer
    Release dateSep 1, 2018
    ISBN9783319953274
    Bioinformation Discovery: Data to Knowledge in Biology

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      Book preview

      Bioinformation Discovery - Pandjassarame Kangueane

      © Springer International Publishing AG, part of Springer Nature 2018

      Pandjassarame KangueaneBioinformation Discoveryhttps://doi.org/10.1007/978-3-319-95327-4_1

      1. Bioinformatics for Bioinformation

      Pandjassarame Kangueane¹ 

      (1)

      Pondicherry, India

      Abstract

      This chapter introduces concepts in bioinformatics and describes its application in agriculture, healthcare, and biotechnology. The principles and components of bioinformatics are discussed in detail. A sound knowledge on the basic concepts in bioinformatics is the foundation for bioinformation discovery from data. The significance of bioinformation discovery in defining targets for developing drugs is discussed. The issues in a discovery environment under pharmaceutical or biotechnological research and development environment are illustrated using block diagrams. The importance of biological data (sequence, structure, and function) in discovery is highlighted. The chapter also contains sufficient exercise problems for

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