Abstract
Long intergenic noncoding RNA (lincRNA) plays important biological functions in plants. Identification and annotation of lincRNA in plants largely rely on RNA sequencing followed by computational analysis. In this protocol, we describe a multistep computational pipeline for lincRNA identification using RNA-sequencing data. This pipeline can also construct co-expression network that is made of both lincRNA and mRNA genes. The co-expression network generated by this pipeline can be used to provide putative annotation of lincRNAs that have no known biological functions.
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Acknowledgment
This work is supported by the Virginia Agricultural Experiment Station (Blacksburg) and the National Institute of Food and Agriculture, US Department of Agriculture (Washington, DC).
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Qi, S., Akter, S., Li, S. (2019). Identification of Novel lincRNA and Co-Expression Network Analysis Using RNA-Sequencing Data in Plants. In: Chekanova, J.A., Wang, HL.V. (eds) Plant Long Non-Coding RNAs. Methods in Molecular Biology, vol 1933. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9045-0_12
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DOI: https://doi.org/10.1007/978-1-4939-9045-0_12
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-9044-3
Online ISBN: 978-1-4939-9045-0
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