Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050913
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 9, 2014.
Abstract: Deoxyribonucleic acid (DNA) is a molecule that encodes unique genetic instructions used in the development and functioning of all known living organisms and many viruses. This Genetic information is encoded as a sequence of nucleotides (adenine, cytosine, guanine, and thymine) recorded using the letters A, C, G, and T.DNA querying or alignment of these sequences required dynamic programming tools and very complex matrices and some heuristic methods like FASTA and BLAST that use massive force of processing and highly time consuming. We present a parallel solution to reduce the processing time. Smith waterman algorithm, Needleman-Wunsch, some weighting matrices and a grid of computers are used to find field of similarity between these sequences in large DNA datasets. This grid consists of master computer and unlimited number of agents. The master computer is the user interface for insert the queried sequence and coordinates the processing between the grid agents.
EL-Sayed Orabi, Mohamed A. Assal, Mustafa Abdel Azim and Yasser Kamal, “Designing and Building a Framework for DNA Sequence Alignment Using Grid Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 5(9), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050913