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High Performance Grid Environment for Parallel Multiple Biological Sequence Alignment

Authors:
Plamenka Borovska
Veska Gancheva
Nikolay Landzhev

Keywords: artificial bee colony; bioinformatics; GRID computing; multiple sequence alignment; portal

Abstract:
The parallel in silico simulations based on methods and algorithms for analysis of biological data using high-performance distributed computing is essential for accelerating the research and reduce the investment. This paper presents a high-performance Grid environment integrating various services and middleware to facilitate access to distributed resources for carrying out scientific experiments in the area of bioinformatics. This environment enables parallel computer simulations increasing the efficiency of the computations and allowing scientists easy and user friendly access. Web portal provides as services access and execution of parallel program implementation based on an algorithm for comparative analysis of biological data. An innovative algorithm called MSA_BG for multiple sequences alignment based on the concept of Artificial Bee Colony metaheuristics is designed. Experimental simulations on the basis of parallel implementation of MSA_BG algorithm for multiple sequences alignment through the high-performance Grid environment have been carried out for the case study of the influenza virus variability.

Pages: 82 to 87

Copyright: Copyright (c) IARIA, 2013

Publication date: July 21, 2013

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-283-7

Location: Nice, France

Dates: from July 21, 2013 to July 26, 2013