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

Introduction

LGC characterizes and detects lncRNAs based on a feature relationship model between ORF (Open Reading Frame) length and GC content. It is able to accurately distinguish lncRNAs from protein-coding RNAs in a cross-species manner without species-specific training or model. As testified on large-scale empirical datasets, LGC achieves high accuracy (around 0.9) and well-balanced sensitivity and specificity and is robustly effective in discriminating protein-coding RNAs from lncRNAs across species ranging from mammals to plants. A web server for online identification of lncRNAs is publicly available at http://bigd.big.ac.cn/lgc/calculator.

Publications

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Credits

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

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

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dot***g@gmail.com (July 12, 2017)
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 Count26
Submitted ByLina Ma