Implementation and Performance Analysis of ClustalW Algorithm using Parallel and Distributed Computing

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dc.contributor.advisorDin, Salam
dc.contributor.authorJasrotia, Swati
dc.date.accessioned2016-08-31T16:16:50Z
dc.date.available2016-08-31T16:16:50Z
dc.date.issued2014
dc.description.abstractParallel version of bioinformatics applications can speed up the analysis of large scale sequence data, specially sequence alignment. sharing of distributed computing resources and data with the use of parallel version softwares on high performance computing is an emerging step. Clusters provide an excellent platform for solving a range of parallel and distributed applications in both scientific and commercial areas. Personal computer clusters are replacing the mainframe systems / super computers because of its cost effectiveness. In this paper, the performance result of parallel version ClustalW software is recorded on personal computer cluster with the help of an open source rocks toolkit. An easy to deploy, contract/expand, manage and scalable distributed environment is proposed and built for bioinformatics applications. The experimental results show that multiple sequence alignment of protein sequences with ClustalW software on rocks distributed environment gives high efficiency and speed up. It also shows cluster platforms are excellent alternative to access to super computing due to its price to performance ratioen_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/74783
dc.language.isoenen_US
dc.publisherPunjab Agricultural University, Ludhianaen_US
dc.subComputer Science and Engineering
dc.subjectMultiple Sequence Alignmenten_US
dc.subjectClustalWen_US
dc.subjectLinux Clusteren_US
dc.subjectParallel and Distributed Computingen_US
dc.subjectHigh Performance Computingen_US
dc.these.typeM.Tech
dc.titleImplementation and Performance Analysis of ClustalW Algorithm using Parallel and Distributed Computingen_US
dc.typeThesisen_US
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