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Challenges of Long Non Coding RNAs in Human Disease Diagnosis and Therapies: Bio-Computational Approaches

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Handbook of Machine Learning Applications for Genomics

Part of the book series: Studies in Big Data ((SBD,volume 103))

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Abstract

Long non-coding RNAs (lncRNAs) are the diverse and prevalent classes of cellular transcripts. Currently numerous research advocates that lncRNAs are the fundamental regulatory elements exist at each level of cell and molecular physiology, where their variations are linked with several human diseases. Here we highlighted and summarised the significant roles of lncRNAs in diverse human diseases, their application as biomarkers element and effective databases using the available bioinformatics resources. Subsequently, we also discuss the specific challenges and potential strategies for its clinical applications in light of computational biology. Therefore, it may conclusive that this study of lncRNAs not only enhances the knowledge a novel aspect for public repositories, dedicated resources, and other effective tools for functional analysis of lncRNAs linked human diseases moreover it definitely supports and reveals the wider range of opportunities for innovative treatment in future days.

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Author information

Authors and Affiliations

  1. Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore, Odisha, 756020, India

    Manojit Bhattacharya

  2. Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, 24252, Gangwon-do, Republic of Korea

    Ashish Ranjan Sharma

  3. Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat-Barrackpore Rd, Kolkata, West Bengal, 700126, India

    Chiranjib Chakraborty

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  1. Manojit Bhattacharya
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  2. Ashish Ranjan Sharma
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  3. Chiranjib Chakraborty
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Editors and Affiliations

  1. Vellore Institute of Technology Universi, Vellore, India

    Sanjiban Sekhar Roy

  2. Department of Physics, Chuo University, Tokyo, Tokyo, Japan

    Y.-H. Taguchi

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Bhattacharya, M., Sharma, A.R., Chakraborty, C. (2022). Challenges of Long Non Coding RNAs in Human Disease Diagnosis and Therapies: Bio-Computational Approaches. In: Roy, S.S., Taguchi, YH. (eds) Handbook of Machine Learning Applications for Genomics. Studies in Big Data, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-16-9158-4_8

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