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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 "martini" in publications use:'
type: software
license: GPL-3.0-only
title: 'martini: GWAS Incorporating Networks'
version: 1.32.0
doi: 10.1101/2021.01.25.428047
identifiers:
- type: doi
  value: 10.32614/CRAN.package.martini
abstract: martini deals with the low power inherent to GWAS studies by using prior
  knowledge represented as a network. SNPs are the vertices of the network, and the
  edges represent biological relationships between them (genomic adjacency, belonging
  to the same gene, physical interaction between protein products). The network is
  scanned using SConES, which looks for groups of SNPs maximally associated with the
  phenotype, that form a close subnetwork.
authors:
- family-names: Climente-Gonzalez
  given-names: Hector
  email: hector.climente@a.riken.jp
  orcid: https://orcid.org/0000-0002-3030-7471
- family-names: Azencott
  given-names: Chloe-Agathe
  orcid: https://orcid.org/0000-0003-1003-301X
preferred-citation:
  type: article
  title: 'martini: an R package for genome-wide association studies using SNP networks'
  authors:
  - family-names: Climente-Gonzalez
    given-names: Hector
    email: hector.climente@a.riken.jp
    orcid: https://orcid.org/0000-0002-3030-7471
  - family-names: Azencott
    given-names: Chloe-Agathe
    orcid: https://orcid.org/0000-0003-1003-301X
  journal: biorXiv
  doi: 10.1101/2021.01.25.428047
  publisher:
    name: Cold Spring Harbor Laboratory
  year: '2021'
  url: https://www.biorxiv.org/content/10.1101/2021.01.25.428047v1
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/hclimente/martini
commit: 428b2d4859fccf009792fe3413e36a815f35d799
url: https://github.com/hclimente/martini
date-released: '2026-04-28'
contact:
- family-names: Climente-Gonzalez
  given-names: Hector
  email: hector.climente@a.riken.jp
  orcid: https://orcid.org/0000-0002-3030-7471