Comparative Sequence Analysis of Lymphoma Using A Hybrid Approach of Waterman Smith and Needleman WUNSCH
B.J. Bipin Nair1, K.K. Nidheesh2, M. Vishnudev3
1B.J. Bipin Nair, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
2K.K. Nidheesh, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
3M. Vishnudev, Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
Manuscript received on 22 April 2019 | Revised Manuscript received on 01 May 2019 | Manuscript Published on 08 May 2019 | PP: 104-108 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11200275S19/19©BEIESP
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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: Bioinformatics is considered as the computational technique where in which it helps to solve the biological based issues. In computer science it helps to improve methods for organizing, analyzing the data, storage and retrieval of the data. In bioinformatics, sequence alignment is one of the major real-time application where in which it helps to compare two or more sequences and the similarity in these sequence can be later used for understanding the relationships. In this work we are developing a computational tool which can predict the 3D structure of different stages of lymphoma. In sequence alignment we are following algorithms such as Needleman Wunch, Smith-Waterman. In each case we are trying to find out best sequence compatibility. Lymphoma is a type of cancer which is mainly affecting in the lymphatic system. The cancer is affecting the white blood cells known as lymphocytes which performs a major role in the immune system. There are mainly two types of Lymphoma namely Hodgkin and Non Hodgkin. The presence of specific type of cell called a Reed-Sternberg cell will identify the presence of Hodgkin, and if that cell is not present it is considered as Non Hodgkin. There are basically four levels of structure prediction namely Primary, Secondary, Tertiary and Quaternary structures. In this work we are making the prediction of these various stages of lymphoma using an hybrid approach of Needleman Wunsch and Waterman smith algorithm.
Keywords: Sequence Analysis Hybrid 3D Structure Algorithm Data Computer.
Scope of the Article: Predictive Analysis