Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications: Emerging Trends in Computer Science and Applied Computing
Autor Hamid R Arabnia, Quoc Nam Tranen Limba Engleză Paperback – 21 mar 2016
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.
- Explores all the latest advances in this fast-developing field from an applied perspective
- Provides the only coherent and comprehensive treatment of the subject available
- Covers the algorithm development, software design, and database applications that have been developed to foster research
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Specificații
ISBN-10: 0128042036
Pagini: 592
Ilustrații: black & white illustrations
Dimensiuni: 191 x 235 x 33 mm
Greutate: 1.01 kg
Editura: ELSEVIER SCIENCE
Seria Emerging Trends in Computer Science and Applied Computing
Cuprins
Part II: BIOINFORMATICS, SIMULATION, DATA MINING, PATTERN DISCOVERY, AND PREDICTION METHODS
Part III: SYSTEMS BIOLOGY AND BIOLOGICAL PROCESSES
Part IV: DATA ANALYTICS AND NUMERICAL MODELING IN COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Part V: MEDICAL APPLICATIONS AND SYSTEMS
Descriere
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.