Research Article

Recent Research Progress of Long Non-coding RNA  

Guofeng Wang , Haibao Tang
Center for Genomic and Biotechnology, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China
Author    Correspondence author
Genomics and Applied Biology, 2018, Vol. 9, No. 10   doi: 10.5376/gab.2018.09.0010
Received: 02 Nov., 2018    Accepted: 25 Dec., 2018    Published: 29 Dec., 2018
© 2018 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Wang G.F., and Tang H.B., 2018, Recent research progress of long non-coding RNA, Genomics and Applied Biology, 9(10): 62-71 (doi: 10.5376/gab.2018.09.0010)


In general, long non-coding RNA (lncRNA) refers to the transcripts that are greater than 200 nucleotides in length which cannot encode a protein but have influential functions. Recently, lncRNA has gradually become a hot spot in the study of biology. This review summarized the advances in understanding the roles of lncRNA in human disease, plant biology among many other directions and how these results would affect us. An increasing number of lncRNA software has been developed to predict lncRNA with the increasing attention paid to lncRNA. We mainly introduced several related software for lncRNA predictions, including their sorting algorithms, and different advantages and disadvantages in their performance and accuracy. With the improvement of sequencing technologies, the approaches for predicting lncRNA have also changed accordingly. In this review, the lncRNA prediction and quantitative processes of different sequencing technologies were introduced in detail. Finally, we summarized some of the challenges in lncRNA research as well as future prospects of lncRNA research, hoping to provide some help for future lncRNA research.

LncRNA; Bioinformatics; Sequencing; Gene regulation; LncRNA prediction
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