THE ROLE OF BIG DATA ANALYTICS IN UNDERSTANDING THE HUMAN GENOME

Authors

  • Dr. Usman Qureshi Department of Computer Science and Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan.

Keywords:

Big Data Analytics, Human Genome, Genomic Sequencing, Personalized Medicine

Abstract

The rapid advancements in genomic sequencing technologies have led to an unprecedented increase in the volume and complexity of genomic data. This surge in data has necessitated the adoption of big data analytics to derive meaningful insights from the human genome. Big data tools enable researchers to analyze vast amounts of genomic information, uncover patterns of genetic variation, and identify potential links to diseases, paving the way for personalized medicine and precision healthcare. This paper explores the role of big data analytics in understanding the human genome, focusing on its applications, challenges, and future directions. It highlights the integration of machine learning and artificial intelligence to enhance genome sequencing, identify genetic markers, and provide insights into gene-environment interactions. The paper also addresses the ethical implications and the future impact of big data in genomics, emphasizing the need for robust data management and security protocols.

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Published

2024-01-31

Issue

Vol. 2 No. 1 (2024): The Nature

Section

Articles

License

Copyright (c) 2024 Dr. Usman Qureshi

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