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Cloud Computing for BioLabs

Cloud Computing for BioLabs
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Author(s): Abraham Pouliakis (University of Athens, Greece), Aris Spathis (University of Athens, Greece), Christine Kottaridi (University of Athens, Greece), Antonia Mourtzikou (University of Athens, Greece), Marilena Stamouli (Naval and Veterans Hospital, Greece), Stavros Archondakis (401 General Army Hospital, Greece), Efrossyni Karakitsou (National Technical University of Athens, Greece)and Petros Karakitsos (University of Athens, Greece)
Copyright: 2015
Pages: 22
Source title: Cloud Technology: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6539-2.ch058

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Abstract

Cloud computing has quickly emerged as an exciting new paradigm providing models of computing and services. Via cloud computing technology, bioinformatics tools can be made available as services to anyone, anywhere, and via any device. Large bio-datasets, highly complex algorithms, computing power demanding analysis methods, and the sudden need for hardware and computational resources provide an ideal environment for large-scale bio-data analysis for cloud computing. Cloud computing is already applied in the fields of biology and biochemistry, via numerous paradigms providing novel ideas stimulating future research. The concept of BioCloud has rapidly emerged with applications related to genomics, drug design, biology tools on the cloud, bio-databases, cloud bio-computing, and numerous applications related to biology and biochemistry. In this chapter, the authors present research results related to biology-related laboratories (BioLabs) as well as potential applications for the everyday clinical routine.

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