Abstract
Based on recent findings, long noncoding (lnc) RNAs represent a potential class of functional molecules within the cell. In this chapter we describe a computational scheme to identify and classify lncRNAs within maize from full-length cDNA sequences to designate subsets of lncRNAs for which biogenesis and regulatory mechanisms may be verified at the bench. We make use of the Coding Potential Calculator and specific Python scripts in our approach.
Key words
- Long noncoding RNA
- miRNA
- siRNA
- NATs
- Maize
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Boerner, S., McGinnis, K.M. (2021). Computational Analysis of lncRNA from cDNA Sequences. In: Zhang, L., Hu, X. (eds) Long Non-Coding RNAs. Methods in Molecular Biology, vol 2372. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1697-0_20
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DOI: https://doi.org/10.1007/978-1-0716-1697-0_20
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Publisher Name: Humana, New York, NY
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