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What is Genome-Wide Association (GWA)

Chapter 20
Handbook of Research on Cloud Infrastructures for Big Data Analytics
An approach that involves rapidly scanning markers across the complete sets of DNA of many people that occur more frequently in people with a particular disease.
Published in Chapter:
Bioinformatics Clouds for High-Throughput Technologies
Claudia Cava (National Research Council, Italy), Francesca Gallivanone (Institute of Molecular Bioimaging and Physiology, National Research Council, Italy), Christian Salvatore (National Research Council, Italy), Pasquale Anthony Della Rosa (National Research Council, Italy), and Isabella Castiglioni (Institute of Molecular Bioimaging and Physiology, National Research Council, Italy)
Copyright: © 2014 |Pages: 19
DOI: 10.4018/978-1-4666-5864-6.ch020
Abstract
Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.
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