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Cloud Computing in Bioinformatics: Solution to Big Data Challenge
Open Access   Article

Cloud Computing in Bioinformatics: Solution to Big Data Challenge
Shahid Tufail1 , M. Abdul Qadeer2
1 Dept. of Computer Engineering, Z. H. College of Engineering and Technology, (Aligarh Muslim University), Aligarh, India.
2 Dept. of Computer Engineering, Z. H. College of Engineering and Technology, (Aligarh Muslim University), Aligarh, India.
Correspondence should be addressed to: shahid.tufail@zhcet.ac.in.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 232-236, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.232236

Online published on Sep 30, 2017

Copyright Shahid Tufail, M. Abdul Qadeer . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
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Citation

IEEE Style Citation: Shahid Tufail, M. Abdul Qadeer, Cloud Computing in Bioinformatics: Solution to Big Data Challenge, International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.232-236, 2017.

MLA Style Citation: Shahid Tufail, M. Abdul Qadeer "Cloud Computing in Bioinformatics: Solution to Big Data Challenge." International Journal of Computer Sciences and Engineering 5.9 (2017): 232-236.

APA Style Citation: Shahid Tufail, M. Abdul Qadeer, (2017). Cloud Computing in Bioinformatics: Solution to Big Data Challenge. International Journal of Computer Sciences and Engineering, 5(9), 232-236.
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Abstract :
The piling up of vast quantity of biological data owing to the enormous exploitation of next and third generation sequencing techniques has made their management and handling an uphill task. Cloud computing offers solution to the storage, processing and analysis issues of such a gigantic amount of biological data. The abstraction layer in cloud computing empowers an incorporated access to handling, storage and virtualization. Herein, we review various types of clouds, cloud based service models in bioinformatics and cloud computing platforms with parallel application tools. Lastly, we discuss how the cloud based platforms are being exploited for big data analysis in biology.
Key-Words / Index Term :
Cloud computing, bioinformatics, big data, handling, challenge
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