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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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MULALIGNER: A MULTIPLE SEQUENCE ALIGNMENT ERROR-CORRECTION TOOL USING DEEP LEARNING ALGORITHM
Authors
Charles Saah,Ferdinand Katsriku,Robert A. Sowah,Wiafe Owusu � Banahene
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Keywords
sequencing, genome, generation, errors, technological advancement, pattern recognition, machine learning
Abstract
Advancement in technology has led to the sequencing of a vast number of genomic data. The genome sequencing process has gone through three main generations, and each generation improves tremendously on its predecessor. Quite recently, the human genome has also been successfully sequenced. Varied sequencing platforms have emanated through this technological advancement. Each platform uses a different sequencing procedure. This has led to the introduction of errors into sequenced data. These errors compromise the quality of the sequenced data and any inferences made about them. Many efforts and techniques have been used to try and correct sequencing errors. The problem persists mainly because either the action or approach is too complex to execute, thus requiring a high level of computational resources. We identified the error correction process as a pattern recognition problem and proposed a classification (machine learning) approach to solving the sequencing error correction problem. This involves using a deep convolutional neural network that is gentle on computational resources and very fast at correcting insertion and deletion errors. Our system is tested using the genome data NA12878, which was obtained from the NCBI, and it achieved 99.5% classification accuracy
IJCRT's Publication Details
Unique Identification Number - IJCRT2301061
Paper ID - 229098
Author type - Foreign Author
Page Number(s) - a495-a502
Pubished in - Volume 11 | Issue 1 | January 2023
DOI (Digital Object Identifier) -
No Of Downloads - 134
Author Country - Ghana, 123456, Accra, Accra, 123456, Science All
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Charles Saah,Ferdinand Katsriku,Robert A. Sowah,Wiafe Owusu � Banahene, "MULALIGNER: A MULTIPLE SEQUENCE ALIGNMENT ERROR-CORRECTION TOOL USING DEEP LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 1, pp.a495-a502, January 2023, Available at :http://www.ijcrt.org/papers/IJCRT2301061.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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