Skip to main content

Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility.

Publication ,  Chapter
Magistri, M; Velmeshev, D
2017

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).

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

DOI

Publication Date

2017

Volume

1543

Start / End Page

197 / 208

Related Subject Headings

  • Web Browser
  • Transcriptome
  • Software
  • RNA, Long Noncoding
  • Humans
  • Genetic Predisposition to Disease
  • Genetic Association Studies
  • Gene Expression Regulation
  • Gene Expression Profiling
  • Developmental Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Magistri, M., & Velmeshev, D. (2017). Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility. (Vol. 1543, pp. 197–208). https://doi.org/10.1007/978-1-4939-6716-2_10
Magistri, Marco, and Dmitry Velmeshev. “Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility.,” 1543:197–208, 2017. https://doi.org/10.1007/978-1-4939-6716-2_10.
Magistri, Marco, and Dmitry Velmeshev. Identification of Long Noncoding RNAs Associated to Human Disease Susceptibility. Vol. 1543, 2017, pp. 197–208. Pubmed, doi:10.1007/978-1-4939-6716-2_10.

DOI

Publication Date

2017

Volume

1543

Start / End Page

197 / 208

Related Subject Headings

  • Web Browser
  • Transcriptome
  • Software
  • RNA, Long Noncoding
  • Humans
  • Genetic Predisposition to Disease
  • Genetic Association Studies
  • Gene Expression Regulation
  • Gene Expression Profiling
  • Developmental Biology