| Literature DB >> 28349428 |
Marco Magistri1, Dmitry Velmeshev2.
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).Entities:
Keywords: CANEapp; Long noncoding RNAs (lncRNAs); RNA sequencing
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Year: 2017 PMID： 28349428 DOI： 10.1007/978-1-4939-6716-2_10
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745