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Cloud Computing Computational Medicine

by: Lukas Forer, Sebastian Schönherr, Hansi Weißensteiner, Günther Specht, Florian Kronenberg, Anita Kloss-Brandstätter

edited by: Zlatko Trajanoski

In Computational Medicine (2012), pp. 27-36, doi:10.1007/978-3-7091-0947-2_2  Key: citeulike:11335352

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Abstract

Computer science plays a key role in today’s genetic research. Next-generation sequencing technologies produce an enormous amount of data, pushing genetic laboratories to the limits of data storage and computational power. Therefore, new approaches are needed to eliminate these shortcomings and provide possibilities to use current algorithms in the area of bioinformatics with improved usability. A possible starting point is cloud computing with the opportunity to use linked computer systems and services on demand. Thus, huge amounts of data can be analysed much faster and more efficiently than by utilising a single computer system. This chapter gives the reader an overview about cloud computing, discusses its challenges and opportunities and shows existing solutions in the field of genetics to gather some hands-on experience.


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