| Name | LGC |
|---|---|
| Type | Genome Assembly and Annotation |
| Developers | Guangyu Wang, Lina Ma, Zhang Zhang |
| Description | LGC is a novel algorithm for identifying lncRNAs that is able to accurately distinguish lncRNAs from protein-coding RNAs in a cross-species manner without any prior knowledge. As validated on large-scale empirical datasets, comparative results show that LGC outperforms existing algorithms by achieving higher accuracy, well-balanced sensitivity and specificity, and is robustly effective (>90% accuracy) in discriminating lncRNAs from protein-coding RNAs across diverse species that range from plants to mammals. To our knowledge, this study, for the first time, differentially characterizes lncRNAs and protein-coding RNAs based on feature relationship, which is further applied in computational identification of lncRNAs. Taken together, our study represents a significant advance in characterization and identification of lncRNAs and LGC thus bears broad potential utility for computational analysis of lncRNAs in a wide range of species. |
| Downlaod | https://ngdc.cncb.ac.cn/biocode/tools/BT000004 |
| Online Link | https://ngdc.cncb.ac.cn/lgc/ |
| Article | https://academic.oup.com/bioinformatics/article/35/17/2949/5288512?login=false |
| Cite Count | 60 |
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