Algorithm for Protein Sequence Alignment using Hadoop
Sneha Arjun Khaire
Sneha Arjun Khaire, Assistant Professor of Sandip Institute of Technology and Research Centre, Nashik.
Manuscript received on November 15, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 2146-2147 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7760129219/2019©BEIESP | DOI: 10.35940/ijitee.B7760.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To develop an efficient system for matching the biological protein sequences and generating the scoring matrix using a distributed scan approach by applying Smith Waterman(SW) algorithm. The algorithm generates fatest solution and the proposed system is comparing sequences with System, OpenMP and Hadoop. The comparison of the system leads in generating an efficient matrix of the protein sequence, beneficial for predicting the efficiency of the system.
Keywords: Bioinformatics, Proteinomics..
Scope of the Article: Bioinformatics