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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 "SARC" in publications use:'
type: software
license: GPL-3.0-only
title: 'SARC: Statistical Analysis of Regions with CNVs'
version: 1.3.0
abstract: Imports a cov/coverage file (normalised read coverages from BAM files) and
  a cnv file (list of CNVs - similiar to a BED file) from WES/ WGS CNV (copy number
  variation) detection pipelines and utilises several metrics to weigh the likelihood
  of a sample containing a detected CNV being a true CNV or a false positive. Highly
  useful for diagnostic testing to filter out false positives to provide clinicians
  with fewer variants to interpret. SARC uniquely only used cov and csv (similiar
  to BED file) files which are the common CNV pipeline calling filetypes, and can
  be used as to supplement the Interactive Genome Browser (IGV) to generate many figures
  automatedly, which can be especially helpful in large cohorts with 100s-1000s of
  patients.
authors:
- family-names: Patel
  given-names: Krutik
  email: nkp68@newcastle.ac.uk
  orcid: https://orcid.org/0000-0001-6806-8675
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Krutik6/SARC
url: https://github.com/Krutik6/SARC/
contact:
- family-names: Patel
  given-names: Krutik
  email: nkp68@newcastle.ac.uk
  orcid: https://orcid.org/0000-0001-6806-8675