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Computational Systems Biology pp 205–221Cite as

Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 1754))

Abstract

With the development and improvement of next-generation sequencing technology, a great number of noncoding RNAs have been discovered. Long noncoding RNAs (lncRNAs) are the biggest kind of noncoding RNAs with more than 200 nt nucleotides in length. There are increasing evidences showing that lncRNAs play key roles in many biological processes. Therefore, the mutation and dysregulation of lncRNAs have close association with a number of complex human diseases. Identifying the most likely interaction between lncRNAs and diseases becomes a fundamental challenge in human health. A common view is that lncRNAs with similar function tend to be related to phenotypic similar diseases. In this chapter, we firstly introduce the concept of lncRNA, their biological features, and available data resources. Further, the recent computational approaches are explored to identify interactions between long noncoding RNAs and diseases, including their advantages and disadvantages. The key issues and potential future works of predicting interactions between long noncoding RNAs and diseases are also discussed.

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China under Grant No. 61702122, 61751314 and 61363025; a key project of Natural Science Foundation of Guangxi 2017GXNSFDA198033 and a key research and development plan of Guangxi AB17195055; the Director Open Fund of Qinzhou City Key Laboratory of Advanced Technology of Internet of Things IOT2017A04.

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Authors and Affiliations

  1. School of Computer, Electronics and Information, Guangxi University, Nanning, China

    Wei Lan, Dehuan Lai & Qingfeng Chen

  2. Information and Network Center, Guangxi University, Nanning, China

    Liyu Huang

  3. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangxi University, Nanning, China

    Qingfeng Chen

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  1. Wei Lan
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  2. Liyu Huang
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  3. Dehuan Lai
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  4. Qingfeng Chen
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Correspondence to Qingfeng Chen .

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  1. Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

    Tao Huang

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Lan, W., Huang, L., Lai, D., Chen, Q. (2018). Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods. In: Huang, T. (eds) Computational Systems Biology. Methods in Molecular Biology, vol 1754. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7717-8_12

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  • DOI: https://doi.org/10.1007/978-1-4939-7717-8_12

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