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Reference-Based Identification of Long Noncoding RNAs in Plants with Strand-Specific RNA-Sequencing Data

  • Xiao Lin
  • Meng Ni
  • Zhixia Xiao
  • Ting-Fung ChanEmail author
  • Hon-Ming LamEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1933)

Abstract

Long noncoding RNAs (lncRNAs) have been shown to play important roles in various organisms, including plant species. Several tools and pipelines have emerged for lncRNA identification, including reference-based transcriptome assembly pipelines and various coding potential calculating tools. In this protocol, we have integrated some of the most updated computational tools and described the procedures step-by-step for identifying lncRNAs from plant strand-specific RNA-sequencing datasets. We will start from clean RNA-sequencing reads, followed by reference-based transcriptome assembly, filtering of known genes, and lncRNA prediction. At the end point, users will obtain a set of predicted lncRNAs for downstream use.

Key words

Plant long noncoding RNA Computational identification Software pipeline Strand-specific RNA-sequencing Reference-based transcriptome assembly 

Notes

Acknowledgments

This work was supported by grants from the Hong Kong Research Grants Council Area of Excellence Scheme (AoE/M-403/16); CUHK VC Discretionary Fund (VCF2014004); National Key Research and Development Program–Key Innovative and Collaborative Science and Technology Scheme for Hong Kong, Macau, and Taiwan (2017YFE0191100); CUHK Direct Grant (3132782); and the Lo Kwee-Seong Biomedical Research Fund to H.-M.L.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of AgrobiotechnologyThe Chinese University of Hong KongShatinChina

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