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Computational Analysis of LncRNA from cDNA Sequences

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Book cover Long Non-Coding RNAs

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1402))

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.

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Correspondence to Karen M. McGinnis .

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© 2016 Springer Science+Business Media New York

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Boerner, S., McGinnis, K.M. (2016). Computational Analysis of LncRNA from cDNA Sequences. In: Feng, Y., Zhang, L. (eds) Long Non-Coding RNAs. Methods in Molecular Biology, vol 1402. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3378-5_20

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  • DOI: https://doi.org/10.1007/978-1-4939-3378-5_20

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-3376-1

  • Online ISBN: 978-1-4939-3378-5

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