Literature DB >> 32288776

Application of Needleman-Wunch Algorithm to identify mutation in DNA sequences of Corona virus.

Mohammad Isa Irawan1, Imam Mukhlash1, Abduh Rizky2, Alfiana Ririsati Dewi1.   

Abstract

-Corona virus is a virus capable of mutating very quickly and many other viruses that arise due to mutations of this virus. To find out the location of corona virus mutations of one type to another, DNA sequences can be aligned using the Needleman-Wunsch algorithm. Corona virus data was taken from Genbank National Center for Biotechnology Information from 1985-1992. The Needleman-Wunsch algorithm is a global alignment algorithm in which alignment is performed to all sequences with the complexity of O (mn) and is capable of producing optimal alignment. An important step in this reserach is the sequence alignment of two corona viruses using the Needleman-Wunsch algorithm. Second, identification of the location of mutations from the DNA of the virus. The result of this reserach is an alignment and the location of mutations of both sequences. The results of identification DNA mutation can be used to find out other viruses mutation corona virus as well as can be used in the field of health as a reference for the manufacture of drugs for corona virus mutation outcome. Published under licence by IOP Publishing Ltd.

Entities:  

Year:  2019        PMID: 32288776      PMCID: PMC7106772          DOI: 10.1088/1742-6596/1218/1/012031

Source DB:  PubMed          Journal:  J Phys Conf Ser        ISSN: 1742-6588


  3 in total

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2.  Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy.

Authors:  Umair Muneer Butt; Sukumar Letchmunan; Fadratul Hafinaz Hassan; Tieng Wei Koh
Journal:  PLoS One       Date:  2022-09-07       Impact factor: 3.752

3.  Computational predictions for protein sequences of COVID-19 virus via machine learning algorithms.

Authors:  Heba M Afify; Muhammad S Zanaty
Journal:  Med Biol Eng Comput       Date:  2021-07-22       Impact factor: 2.602

  3 in total

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