Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility.

Book Section

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).

Full Text

Duke Authors

Cited Authors

  • Magistri, M; Velmeshev, D

Published Date

  • 2017

Volume / Issue

  • 1543 /

Start / End Page

  • 197 - 208

PubMed ID

  • 28349428

Digital Object Identifier (DOI)

  • 10.1007/978-1-4939-6716-2_10