Decoding the Human Genome: Machine Learning Techniques for DNA Sequencing Analysis

The decoding of the human genome has been a landmark achievement in the field of genomics, generating vast amounts of DNA sequencing data that necessitate sophisticated analysis techniques. In recent years, machine learning has emerged as a powerful tool in unravelling the complexities of genomic da...

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Bibliographic Details
Published inE3S web of conferences Vol. 430; p. 1067
Main Authors C., Sravani, P., Pavani, G.Y., Vybhavi, Ramesh, G., Farman, Ali, Reddy L., Venkareswara
Format Journal Article
LanguageEnglish
Published EDP Sciences 01.01.2023
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Summary:The decoding of the human genome has been a landmark achievement in the field of genomics, generating vast amounts of DNA sequencing data that necessitate sophisticated analysis techniques. In recent years, machine learning has emerged as a powerful tool in unravelling the complexities of genomic data and expediting research discoveries. This article explores the integration of machine learning techniques in DNA sequencing analysis, elucidating their applications in genome assembly, variant calling, personalized medicine, and drug discovery. Additionally, it addresses the ethical considerations surrounding the use of genomic data. By harnessing the potential of machine learning, researchers are unlocking new insights into human genetics and paving the way for transformative advancements in healthcare and scientific understanding.
ISSN:2267-1242
2267-1242
DOI:10.1051/e3sconf/202343001067