Welcome to the InfoSci Platform
Analysis of Genomic Data in a Cloud Computing Environment

Analysis of Genomic Data in a Cloud Computing Environment

Philip Groth, Gerhard Reuter, Sebastian Thieme
Copyright: © 2015 |Pages: 29
ISBN13: 9781466666115|ISBN10: 1466666110|EISBN13: 9781466666122
DOI: 10.4018/978-1-4666-6611-5.ch009
Cite Chapter Cite Chapter

MLA

Groth, Philip, et al. "Analysis of Genomic Data in a Cloud Computing Environment." Big Data Analytics in Bioinformatics and Healthcare, edited by Baoying Wang, et al., IGI Global, 2015, pp. 186-214. https://doi.org/10.4018/978-1-4666-6611-5.ch009

APA

Groth, P., Reuter, G., & Thieme, S. (2015). Analysis of Genomic Data in a Cloud Computing Environment. In B. Wang, R. Li, & W. Perrizo (Eds.), Big Data Analytics in Bioinformatics and Healthcare (pp. 186-214). IGI Global. https://doi.org/10.4018/978-1-4666-6611-5.ch009

Chicago

Groth, Philip, Gerhard Reuter, and Sebastian Thieme. "Analysis of Genomic Data in a Cloud Computing Environment." In Big Data Analytics in Bioinformatics and Healthcare, edited by Baoying Wang, Ruowang Li, and William Perrizo, 186-214. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6611-5.ch009

Export Reference

Mendeley
Favorite

Abstract

A new trend for data analysis in the life sciences is Cloud computing, enabling the analysis of large datasets in short time. This chapter introduces Big Data challenges in the genomic era and how Cloud computing can be one feasible approach for solving them. Technical and security issues are discussed and a case study where Clouds are successfully applied to resolve computational bottlenecks in the analysis of genomic data is presented. It is an intentional outcome of this chapter that Cloud computing is not essential for analyzing Big Data. Rather, it is argued that for the optimized utilization of IT, it is required to choose the best architecture for each use case, either by security requirements, financial goals, optimized runtime through parallelization, or the ability for easier collaboration and data sharing with business partners on shared resources.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.