LGC Characterization and identification of long non-coding RNAs based on feature relationship


LGC characterizes and identifies lncRNAs based on the relationship between ORF (open reading frame) Length and GC content. LGC is able to accurately distinguish lncRNAs from protein-coding RNAs in a cross-species manner without species-specific adjustments, and is robustly effective (>90% accuracy) in discriminating lncRNAs from protein-coding RNAs across diverse species that range from plants to mammals.

A web server for online identification of lncRNAs is publicly available at http://bigd.big.ac.cn/lgc/calculator.


  1. Characterization And Identification Of Long Non Coding Rn As Based On Feature Relationship.
    Cite this
    Wang G, Yin H, Li B, Yu C, Wang F, Xu X, Cao J, Bao Y, Wang L, Abbasi AA, Bajic VB, Ma L, Zhang Z, 2019 Sep 1 - Bioinformatics (Oxford, England)


  1. Lina Ma malina@big.ac.cn

    BIGD, Beijing Institute of Genomics, Chinese Academy of Sciences, China

  2. Zhang Zhang zhangzhang@big.ac.cn

    BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, China

  3. Guangyu Wang gwang2@houstonmethodist.org

    The Methodist Hospital Research Institute, The Methodist Hospital Research Institute, China

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dot***g@gmail.com (July 12, 2017)
wan***n@big.ac.cn (January 9, 2018)
zha***i@sysucc.org.cn (January 15, 2020)
Tool TypeToolkit
CategoryProtein-coding gene prediction
TechnologiesJava, Python2
User InterfaceTerminal Command Line, Webpage
Input DataFASTA
Latest Release1.0 (June 26, 2017)
Download Count5178
Submitted ByLina Ma