Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications
Format

AlbakiReads Editorial A technical overview of computational approaches across modern biology
A technical overview of computational approaches across modern biology
Organized in four broad sections, this volume maps the computational infrastructure behind several interconnected fields. It begins with data analysis, theoretical methods, mathematical modeling, and simulation as tools for studying biological and behavioral systems. Bioinformatics is addressed through the storage, retrieval, organization, and analysis of biological data, alongside software used to turn that information into biological knowledge. The systems biology material considers the integration and analysis of complex datasets from multiple experimental sources. A final section turns to big data, concentrating on datasets whose scale and complexity challenge conventional processing and database tools.
Good fit for readers who enjoy
- Students and professionals studying computational biology or bioinformatics
- Researchers interested in biological data integration and systems biology
- Computing practitioners working with large-scale biological datasets
Themes
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Book Overview Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applicati...
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems.
The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge.
The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications.
Book Details Format: Paperback | Pages: 592 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0128042036
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