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CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition
Guo, Jin-Cheng1,2,3; Fang, Shuang-Sang3,4; Wu, Yang1,3; Zhang, Jian-Hua5; Chen, Yang2; Liu, Jing6; Wu, Bo3; Wu, Jia-Rui1; Li, En-Min2; Xu, Li-Yan2; Sun, Liang3; Zhao, Yi1
2019-07-02
发表期刊NUCLEIC ACIDS RESEARCH
ISSN0305-1048
卷号47期号:W1页码:W516-W522
摘要As more and more high-throughput data has been produced by next-generation sequencing, it is still a challenge to classify RNA transcripts into protein-coding or non-coding, especially for poorly annotated species. We upgraded our original coding potential calculator, CNCI (Coding-Non-Coding Index), to CNIT (Coding-Non-Coding Identifying Tool), which provides faster and more accurate evaluation of the coding ability of RNA transcripts. CNIT runs similar to 200 times faster than CNCI and exhibits more accuracy compared with CNCI (0.98 versus 0.94 for human, 0.95 versus 0.93 for mouse, 0.93 versus 0.92 for zebra-fish, 0.93 versus 0.92 for fruit fly, 0.92 versus 0.88 for worm, and 0.98 versus 0.85 for Arabidopsis transcripts). Moreover, the AUC values of 11 animal species and 27 plant species showed that CNIT was capable of obtaining relatively accurate identification results for almost all eukaryotic transcripts. In addition, a mobile-friendly web server is now freely available at http://cnit.noncode.org/CNIT.
DOI10.1093/nar/gkz400
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[91740113] ; National Natural Science Foundation for Young Scholars of China[31701141] ; National Natural Science Foundation for Young Scholars of China[31701149] ; National Natural Science Foundation for Young Scholars of China[31501066] ; Innovation Project for Institute of Computing Technology, CAS[20186060] ; National Natural Science Foundation of China
WOS研究方向Biochemistry & Molecular Biology
WOS类目Biochemistry & Molecular Biology
WOS记录号WOS:000475901600076
出版者OXFORD UNIV PRESS
引用统计
被引频次:88[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/4537
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Xu, Li-Yan; Sun, Liang; Zhao, Yi
作者单位1.Beijing Univ Chinese Med, Beijing 100029, Peoples R China
2.Shantou Univ, Key Lab Mol Biol High Canc Incidence Coastal Chao, Med Coll, Shantou 515041, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Adv Comp Res Ctr, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Peking Univ, Dept Blood Transfus, Peoples Hosp, Beijing 100000, Peoples R China
6.Northwest Univ, Coll Life Sci, Xian 710069, Shaanxi, Peoples R China
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Guo, Jin-Cheng,Fang, Shuang-Sang,Wu, Yang,et al. CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition[J]. NUCLEIC ACIDS RESEARCH,2019,47(W1):W516-W522.
APA Guo, Jin-Cheng.,Fang, Shuang-Sang.,Wu, Yang.,Zhang, Jian-Hua.,Chen, Yang.,...&Zhao, Yi.(2019).CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition.NUCLEIC ACIDS RESEARCH,47(W1),W516-W522.
MLA Guo, Jin-Cheng,et al."CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition".NUCLEIC ACIDS RESEARCH 47.W1(2019):W516-W522.
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