Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing

Advancements in the field of sequencing techniques resulted in the huge sequenced data to be produced at a very faster rate. It is going cumbersome for the datacenter to maintain the databases. Data mining and sequence analysis approaches needs to analyze the databases several times to reach any ef...

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Main Authors: Radhe Shyam Thakur, Rajib eBandopadhyay, Bratati eChaudhary, Sourav eChatterjee
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-12-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00280/full
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spelling doaj-0f91696dfa724f2587dc614c5676dd402020-11-24T22:34:27ZengFrontiers Media S.A.Frontiers in Genetics1664-80212012-12-01310.3389/fgene.2012.0028027122Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud ComputingRadhe Shyam Thakur0Rajib eBandopadhyay1Bratati eChaudhary2Bratati eChaudhary3Sourav eChatterjee4Birla Institute of TechnologyBirla Institute of TechnologyBirla Institute of TechnologyInternational Institute of Information TechnologyInternational Institute of Information TechnologyAdvancements in the field of sequencing techniques resulted in the huge sequenced data to be produced at a very faster rate. It is going cumbersome for the datacenter to maintain the databases. Data mining and sequence analysis approaches needs to analyze the databases several times to reach any efficient conclusion. To cope with such overburden on computer resources and to reach efficient and effective conclusions quickly, the virtualization of the resources and computation on pay as you go concept was introduced and termed as cloud computing. The datacenter’s hardware and software is collectively known as cloud which when available publicly is termed as public cloud. The datacenter’s resources are provided in a virtual mode to the clients via a service provider like Amazon, Google and Joyent which charges on pay as you go manner. The workload is shifted to the provider which is maintained by the required hardware and software upgradation. The service provider manages it by upgrading the requirements in the virtual mode. Basically a virtual environment is created according to the need of the user by taking permission from datacenter via internet, the task is performed and the environment is deleted after the task is over. In this discussion, we are focusing on the basics of cloud computing, the prerequisites and overall working of clouds. Furthermore, briefly the applications of cloud computing in biological systems, especially in comparative genomics, genome informatics and SNP detection with reference to traditional workflow are discussed.http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00280/fullMetagenomicsGenome sequencingnext generation sequencinggenome analysisCloud computingDNA cloud
collection DOAJ
language English
format Article
sources DOAJ
author Radhe Shyam Thakur
Rajib eBandopadhyay
Bratati eChaudhary
Bratati eChaudhary
Sourav eChatterjee
spellingShingle Radhe Shyam Thakur
Rajib eBandopadhyay
Bratati eChaudhary
Bratati eChaudhary
Sourav eChatterjee
Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
Frontiers in Genetics
Metagenomics
Genome sequencing
next generation sequencing
genome analysis
Cloud computing
DNA cloud
author_facet Radhe Shyam Thakur
Rajib eBandopadhyay
Bratati eChaudhary
Bratati eChaudhary
Sourav eChatterjee
author_sort Radhe Shyam Thakur
title Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
title_short Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
title_full Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
title_fullStr Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
title_full_unstemmed Now And Next Generation Sequencing Techniques: Future of Sequence Analysis using Cloud Computing
title_sort now and next generation sequencing techniques: future of sequence analysis using cloud computing
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2012-12-01
description Advancements in the field of sequencing techniques resulted in the huge sequenced data to be produced at a very faster rate. It is going cumbersome for the datacenter to maintain the databases. Data mining and sequence analysis approaches needs to analyze the databases several times to reach any efficient conclusion. To cope with such overburden on computer resources and to reach efficient and effective conclusions quickly, the virtualization of the resources and computation on pay as you go concept was introduced and termed as cloud computing. The datacenter’s hardware and software is collectively known as cloud which when available publicly is termed as public cloud. The datacenter’s resources are provided in a virtual mode to the clients via a service provider like Amazon, Google and Joyent which charges on pay as you go manner. The workload is shifted to the provider which is maintained by the required hardware and software upgradation. The service provider manages it by upgrading the requirements in the virtual mode. Basically a virtual environment is created according to the need of the user by taking permission from datacenter via internet, the task is performed and the environment is deleted after the task is over. In this discussion, we are focusing on the basics of cloud computing, the prerequisites and overall working of clouds. Furthermore, briefly the applications of cloud computing in biological systems, especially in comparative genomics, genome informatics and SNP detection with reference to traditional workflow are discussed.
topic Metagenomics
Genome sequencing
next generation sequencing
genome analysis
Cloud computing
DNA cloud
url http://journal.frontiersin.org/Journal/10.3389/fgene.2012.00280/full
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