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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "CNVPanelizer" in publications use:'
type: software
license: GPL-3.0-only
title: 'CNVPanelizer: Reliable CNV detection in targeted sequencing applications'
version: 1.37.0
abstract: 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.
authors:
- family-names: Oliveira
  given-names: Cristiano
  email: tanovsky@gmail.com
- family-names: Wolf
  given-names: Thomas
  email: thomas_wolf71@gmx.de
repository: https://bioc.r-universe.dev
date-released: '2023-03-28'
contact:
- family-names: Wolf
  given-names: Thomas
  email: thomas_wolf71@gmx.de