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Deep Learning in Bioinformatics- Current Advances and Future Prospects

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  • Pokkuluri Kiran Sree

    (Head & Professor, Dept of C.S.E, Shri Vishnu Engineering College for Women(A), India)

Abstract

Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyse biological data, unravel complex biological processes, and make meaningful discoveries. With the rapid advancement of high-throughput technologies, there has been an exponential increase in the volume and complexity of biological data. Deep learning, a subfield of machine learning, has emerged as a powerful tool in bioinformatics for addressing these challenges. This research article provides an overview of the recent advances, applications, and challenges of deep learning in bioinformatics. We explore the various domains of bioinformatics where deep learning has made significant contributions, including genomics, proteomics, transcriptomics, and drug discovery.

Suggested Citation

  • Pokkuluri Kiran Sree, 2023. "Deep Learning in Bioinformatics- Current Advances and Future Prospects," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 50(5), pages 42111-42114, June.
    • Handle: RePEc:abf:journl:v:50:y:2023:i:5:p:42111-42114
    DOI: 10.26717/BJSTR.2023.50.008022
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