This work offers unique insight into how biology is evolving to meet the needs of data-intensive science. It examines the history of computational science and lessons learned, discusses the evolution of biology into a data-driven science, and addresses the challenges and complexities of modern, data-driven biology. Exploring the core technological and scientific challenges, including algorithmic and infrastructural requirements, the book analyzes common themes and differences between biology and other data-intensive sciences and highlights the future directions of the field and the skill sets that will be critical for future success.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Researchers in computational biology and bioinformatics; biologists; software developers and data scientists from non-biological fields with an interest in biology.
Illustrationen
35 s/w Abbildungen
35 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-4398-7237-6 (9781439872376)
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Schweitzer Klassifikation
