Biomedical Data and Applications

Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful guide learning state-of-the-art development in biomedical data management, data-intensive bioinformatics systems, and other miscellaneous biological database applications. The book addresses various topics in bioinformatics with varying degrees of balance between biomedical data models and their real-world applications.

• algorithm
• bioinformatics
• biomedical application
• biomedical applications
• calculus
• databases
• genetic algorithms
• genome
• learning
• linear optimization
• model
• modeling
• multi-agent system
• multimedia
• ontology

• WA Centre for Comparative Genomics, Murdoch University, Murdoch, Australia

  Amandeep S. Sidhu

• Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Park Bentley, Australia

  Tharam S. Dillon

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