Review ARTICLE

Front. Genet., 11 December 2012 | doi: 10.3389/fgene.2012.00280

Now and next-generation sequencing techniques: future of sequence analysis using cloud computing

  • 1Department of Biotechnology, Birla Institute of Technology, Mesra, Ranchi, India
  • 2Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, India

Advances in the field of sequencing techniques have resulted in the greatly accelerated production of huge sequence datasets. This presents immediate challenges in database maintenance at datacenters. It provides additional computational challenges in data mining and sequence analysis. Together these represent a significant overburden on traditional stand-alone computer resources, and to reach effective conclusions quickly and efficiently, the virtualization of the resources and computation on a pay-as-you-go concept (together termed “cloud computing”) has recently appeared. The collective resources of the datacenter, including both hardware and software, can be available publicly, being then termed a public cloud, the resources being provided in a virtual mode to the clients who pay according to the resources they employ. Examples of public companies providing these resources include Amazon, Google, and Joyent. The computational workload is shifted to the provider, which also implements required hardware and software upgrades over time. A virtual environment is created in the cloud corresponding to the computational and data storage needs of the user via the internet. The task is then performed, the results transmitted to the user, and the environment finally deleted after all tasks are completed. In this discussion, we focus on the basics of cloud computing, and go on to analyze the prerequisites and overall working of clouds. Finally, the applications of cloud computing in biological systems, particularly in comparative genomics, genome informatics, and SNP detection are discussed with reference to traditional workflows.

Keywords: next-generation sequencing, cloud computing, DNA cloud

Citation: Thakur RS, Bandopadhyay R, Chaudhary B and Chatterjee S (2012) Now and next-generation sequencing techniques: future of sequence analysis using cloud computing. Front. Gene. 3:280. doi: 10.3389/fgene.2012.00280

Received: 16 April 2012; Accepted: 16 November 2012;
Published online: 11 December 2012.

Edited by:

Molly S. Bray, University of Alabama at Birmingham, USA

Reviewed by:

Qihui Zhu, Harvard Medical School, USA
Nan Liu, Howard Hughes Medical Institute, USA

Copyright: © 2012 Thakur, Bandopadhyay, Chaudhary and Chatterjee. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

*Correspondence: Rajib Bandopadhyay, Department of Biotechnology, Birla Institute of Technology, Mesra, Ranchi 835215, Jharkhand, India. e-mail: rajib_bandopadhyay@bitmesra.ac.in

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