Compartir
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (Emerging Trends in Computer Science and Applied Computing) (en Inglés)
Hamid R Arabnia; Quoc Nam Tran (Autor)
·
Morgan Kaufmann
· Tapa Blanda
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (Emerging Trends in Computer Science and Applied Computing) (en Inglés) - Hamid R Arabnia; Quoc Nam Tran
$ 436.636
$ 727.727
Ahorras: $ 291.091
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Jueves 13 de Junio y el
Viernes 21 de Junio.
Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (Emerging Trends in Computer Science and Applied Computing) (en Inglés)"
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.Explores all the latest advances in this fast-developing field from an applied perspectiveProvides the only coherent and comprehensive treatment of the subject availableCovers the algorithm development, software design, and database applications that have been developed to foster research
