bioconda / packages / bioconductor-cnvpanelizer 1.20.0

Reliable CNV detection in targeted sequencing applications


Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.12.0
  • osx-64  v1.12.0
  • noarch  v1.20.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-cnvpanelizer
conda install -c bioconda/label/gcc7 bioconductor-cnvpanelizer
conda install -c bioconda/label/cf201901 bioconductor-cnvpanelizer


A method that allows for the use of a collection of non-matched normal tissue samples. Our approach uses a non-parametric bootstrap subsampling of the available reference samples to estimate the distribution of read counts from targeted sequencing. As inspired by random forest, this is combined with a procedure that subsamples the amplicons associated with each of the targeted genes. The obtained information allows us to reliably classify the copy number aberrations on the gene level.

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