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RED-ML

RED-ML

A tool for detection of RNA editing. The RED-ML algorithm is based on machine learning and does not require access to RNA editing databases.

Topic

Machine learning; RNA-seq; Genetic variation

Details

  • Operation: Nucleic acid feature detection
  • Input: BAM, FA, VCF
  • Output: -
  • Software interface: Command-line user interface
  • Language: C++;Perl
  • Operating system: Linux
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: -
  • Maturity: Stable
  • Credit: the Shenzhen Peacock Plan
  • Contact: ljlee _at_ psi.toronto.edu | xuxun _at_ genomics.cn
  • Collection: -

Publications

Xiong H, Liu D, Li Q, Lei M, Xu L, Wu L, Wang Z, Ren S, Li W, Xia M, Lu L, Lu H, Hou Y, Zhu S, Liu X, Sun Y, Wang J, Yang H, Wu K, Xu X, Lee LJ "RED-ML: a novel, effective RNA editing detection method based on machine learning." Gigascience. 2017 May 1;6(5):1-8. https://doi.org/10.1093/gigascience/gix012
PMID: 28328004
PMCID: PMC5467039


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