# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "geneAttribution" in publications use:'
type: software
license: Artistic-2.0
title: 'geneAttribution: Identification of candidate genes associated with genetic
  variation'
version: 1.31.0
doi: 10.32614/CRAN.package.geneAttribution
abstract: Identification of the most likely gene or genes through which variation
  at a given genomic locus in the human genome acts. The most basic functionality
  assumes that the closer gene is to the input locus, the more likely the gene is
  to be causative. Additionally, any empirical data that links genomic regions to
  genes (e.g. eQTL or genome conformation data) can be used if it is supplied in the
  UCSC .BED file format.
authors:
- family-names: Wuster
  given-names: Arthur
  email: wustera@gene.com
repository: https://bioc.r-universe.dev
commit: e27bc55fadff420bc202e14fa7253ddb25ef14a3
date-released: '2016-10-16'
contact:
- family-names: Wuster
  given-names: Arthur
  email: wustera@gene.com