Abstract
Transcriptomic as well as in vivo studies have revealed the importance of several lncRNAs in many complex diseases including cancer, cardiovascular, and neurological disorders. In this protocol, we describe how to perform RNAseq data analysis to identify lncRNAs associated with disease states utilizing the open-source software CANEapp (application for Comprehensive automated Analysis of Next-generation sequencing Experiments).
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Magistri, M., Velmeshev, D. (2017). Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility. In: Napoli, S. (eds) Promoter Associated RNA. Methods in Molecular Biology, vol 1543. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6716-2_10
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DOI: https://doi.org/10.1007/978-1-4939-6716-2_10
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Publisher Name: Humana Press, New York, NY
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Online ISBN: 978-1-4939-6716-2
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