LncRNAnet: long non-coding RNA identification using deep learning.

Journal: Bioinformatics (Oxford, England)
Published Date: Nov 15, 2018

Abstract

MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes. LncRNAs share similar sequence characteristics with messenger RNAs, but they play completely different roles, thus providing novel insights for biological studies. The development of next-generation sequencing has helped in the discovery of lncRNA transcripts. However, the experimental verification of numerous transcriptomes is time consuming and costly. To alleviate these issues, a computational approach is needed to distinguish lncRNAs from the transcriptomes.

Authors

  • Junghwan Baek
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.
  • Byunghan Lee
  • Sunyoung Kwon
    4 Department of Electrical and Computer Engineering and Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.
  • Sungroh Yoon
    4 Department of Electrical and Computer Engineering and Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea.

Keywords

External Resources

Popular Topics
Recent Journals