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.
Genetics; Genetic variation
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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