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CNV_IFTV is a tool for detection of copy number variation (CNV). The algorithm is specifically designed for short read data. It uses a novel 'isolation forest' algorithm.




  • Operation: variation detection
  • Software interface: Command-line user interface
  • Language: Python
  • Operating system: Linux; MAC OS X; Microsoft Windows
  • License: Not stated
  • Cost: Free
  • Version name: -
  • Maturity:
  • Credit: The natural Science Foundation of China, the Fundamental Research Funds for the Central Universities.
  • Contact: leader0420 _at_
  • Collection:


Yuan X, Yu J, Xi J, Yang L, Shang J, Li Z, Duan J "CNV_IFTV: an isolation forest and total variation-based detection of CNVs from short-read sequencing data." IEEE/ACM Trans Comput Biol Bioinform. 2019 Jun 5.
PMID: 31180897

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