Research Article Open Access

An Efficient Distributed Bioinformatics Computing System for DNA Sequence Analysis on Encoding System

Mohammad Ibrahim Khan1 and Chotan Sheel1
  • 1 Chittagong University of Engineering and Technology (CUET), Bangladesh

Abstract

This study provides an effective design of search technique of a distributed bioinformatics computing system for analysis of DNA sequences using OPTSDNA algorithm. This system could be used for disease detection, criminal forensic analysis, gene prediction, genetic system and protein analysis. Different types of distributed algorithms for the search and identification for DNA segments and repeat pattern in a given DNA sequence are developed. The search algorithm was developed to compute the number of DNA sequence which contains the same consecutive types of DNA segments. A distributed subsequence identifications algorithm was designed and implemented to detect the segment containing DNA sequences. Sequential and distributed implementation of these algorithms was executed with different length of search segments patterns and genetic sequences. OPTSDNA algorithm is used for storing various sizes of DNA sequence into database. DNA sequences of different lengths were tested by using this algorithm. These input DNA sequences varied in size from very small to very large. The performance of search technique distributed system is compared with sequential approach.

Current Research in Bioinformatics
Volume 2 No. 2, 2013, 15-23

DOI: https://doi.org/10.3844/ajbsp.2013.15.23

Submitted On: 6 November 2013 Published On: 20 December 2013

How to Cite: Khan, M. I. & Sheel, C. (2013). An Efficient Distributed Bioinformatics Computing System for DNA Sequence Analysis on Encoding System. Current Research in Bioinformatics, 2(2), 15-23. https://doi.org/10.3844/ajbsp.2013.15.23

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Keywords

  • Distributed Bioinformatics System
  • DNA Sequence
  • Search Segments
  • Identify DNA Sequences
  • Reported Gene Sequences