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Translational Biomedical Informatics pp 21–38Cite as

RNA Bioinformatics for Precision Medicine

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Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 939))

Abstract

The high-throughput transcriptomic data generated by deep sequencing technologies urgently require bioinformatics methods for proper data visualization, analysis, storage, and interpretation. The involvement of noncoding RNAs in human diseases highlights their potential as biomarkers and therapeutic targets to facilitate the precision medicine. In this chapter, we give a brief overview of the bioinformatics tools to analyze different aspects of RNAs, in particular ncRNAs. We first describe the emerging bioinformatics methods for RNA identification, structure modeling, functional annotation, and network inference. This is followed by an introduction of potential usefulness of ncRNAs as diagnostic, prognostic biomarkers and therapeutic strategies.

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Authors and Affiliations

  1. School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, No1. Kerui road, Suzhou, Jiangsu, 215011, China

    Jiajia Chen

  2. Center for Systems Biology, Soochow University, No1. Shizi Street, 206, Suzhou, Jiangsu, 215006, China

    Bairong Shen

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  1. Jiajia Chen
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Correspondence to Bairong Shen .

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Editors and Affiliations

  1. Center for Systems Biology, Soochow University, Jiangsu, China

    Bairong Shen

  2. School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA

    Haixu Tang

  3. Department of Biomedical Informatics, University of California San Diego, La Jolla, California, USA

    Xiaoqian Jiang

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Chen, J., Shen, B. (2016). RNA Bioinformatics for Precision Medicine. In: Shen, B., Tang, H., Jiang, X. (eds) Translational Biomedical Informatics. Advances in Experimental Medicine and Biology, vol 939. Springer, Singapore. https://doi.org/10.1007/978-981-10-1503-8_2

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