CNIT The CNIT sever accepts RNA transcript sequences as input, and outputs assessed protein-coding potential of the transcripts.

Introduction

The CNIT sever accepts RNA transcript sequences as input, and outputs assessed protein-coding potential of the transcripts. Powered by a novel model based on sequence intrinsic features, the updated CNIT runs faster than the previous CNCI, with an improved accuracy and more species.

Publications

  1. CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition
    Jin-Cheng Guo, Shuang-Sang Fang, Yang Wu, Jian-Hua Zhang, Yang Chen, Jing Liu, Bo Wu, Jia-Rui Wu, En-Min Li, Li-Yan Xu, Liang Sun, Yi Zhao, - Nucleic Acids Research
    Cited by 21 (Google Schoolar as of September 16, 2021)

Credits

  1. Dechao Bu budechao@ict.ac.cn
    Contributor

    Cloud Platform, Beijing Zhong Ke Jing Yun, China

Community Ratings

UsabilityEfficiencyReliabilityRated By
0 user
Sign in to rate
Summary
AccessionBT007266
Tool TypeApplication
CategoryTranscriptome annotation
PlatformsLinux/Unix
TechnologiesPerl, Python3
User InterfaceTerminal Command Line, Webpage
Input DataFASTA
Download Count0
Submitted ByDechao Bu
Fundings

国家重点研发计划课题”精准医学大数据分析应用方法体系"[2018YFC0910400, 2018YFC0910401]