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CN_Learn is a tool for copy number variation (CNV) detection. The algorithm integrates multiple CNV detection algorithms and learns to identify CNVs based on validated CNVs.




  • Operation: Variation detection
  • Software interface: Command-line user interface
  • Language: C
  • Operating system: Linux
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: -
  • Credit: R01-MH107431, R01-471GM121907, SFARI Pilot Grant 399894, and resources from the Huck Institutes of the Life Sciences472(to SG). This work was funded partly by the Big Data to Knowledge (BD2K)pre-doctoraltraining 473program (T32LM012415)from the National Institutes of Health (to VK).
  • Contact: sxg47 _at_
  • Collection: -


Pounraja VK, Jayakar G, Jensen M, Kelkar N, Girirajan S "A machine-learning approach for accurate detection of copy number variants from exome sequencing." Genome Res. 2019 Jun 6.
PMID: 31171634

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