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CONDEL
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CONDEL

CONDEL (CONsensus DELeteriousness) is a software tool to detect copy number variation (CNV) in single tumor sample sequencing data. The CONDEL algorithm uses a Bayesian method to infer CNV and zygosity, and it uses a unique statistics combined with a peel-off scheme for assessment of significances.



CONDEL

CONDEL (CONsensus DELeteriousness) is a software tool to detect copy number variation (CNV) in single tumor sample sequencing data. The CONDEL algorithm uses a Bayesian method to infer CNV and zygosity, and it uses a unique statistics combined with a peel-off scheme for assessment of significances.

Topic

Genetics; Genetic variation

Details

  • Operation: Copy number estimation
  • Software interface: Command-line user interface; graphical user interface
  • Language: C++;Perl
  • Operating system: Linux; Mac OS X; Microsoft Windows
  • License: Not stated
    • Cost: Free
  • Version name: 2.0.7
  • Credit: The Natural Science Foundation of China, the Fundamental Research Funds for the Central Univer-sities under Grant JBZ170301.
  • Contact: Xiguo Yuan xiguoyuan _at_ mail.xidian.edu.cn | Jun Bai edgemen _at_ 163.com | Junying Zhang jyzhang _at_ mail.xidian.edu.cn | Liying Yang yangliying1208 _at_ 163.com | Junbo Duan junbo.duan _at_ mail.xjtu.edu.cn | Yaoyao Li Yaoyao Li | Meihong Gao 13484907397 _at_ 163.com
  • Collection: -

Publications

Yuan X, Bai J, Zhang J, Yang L, Duan J, Li Y, Gao M "CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples using Sequence Data." IEEE/ACM Trans Comput Biol Bioinform. 2018 Nov 26. https://doi.org/10.1109/TCBB.2018.2883333
PMID: 30489272


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