Implementation and Performance Analysis of ClustalW Algorithm using Parallel and Distributed Computing
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Date
2014
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Publisher
Punjab Agricultural University, Ludhiana
Abstract
Parallel 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 ratio
Description
Keywords
Multiple Sequence Alignment, ClustalW, Linux Cluster, Parallel and Distributed Computing, High Performance Computing