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

Introduction

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.

Publications

  1. Characterization and identification of long non-coding RNAs based on feature relationship (under review)
    Guangyu Wang, Hongyan Yin, Boyang Li, Chunlei Yu, Fan Wang, Xingjian Xu, Jiabao Cao, Yiming Bao, Liguo Wang, Amir A. Abbasi, Vladimir B. Bajic, Lina Ma, Zhang Zhang, -

Credits

  1. Lina Ma malina@big.ac.cn
    Developer

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

  2. Zhang Zhang zhangzhang@big.ac.cn
    Developer

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

  3. Guangyu Wang gwang2@houstonmethodist.org
    Developer

    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)
Summary
AccessionBT000004
Tool TypeToolkit
CategoryProtein-coding gene prediction
PlatformsLinux/Unix
TechnologiesJava, Python2
User InterfaceTerminal Command Line, Webpage
Input DataFASTA
Latest Release1.0 (June 26, 2017)
Download Count324
Submitted ByLina Ma