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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 "fCCAC" in publications use:'
type: software
license: Artistic-2.0
title: 'fCCAC: functional Canonical Correlation Analysis to evaluate Covariance between
  nucleic acid sequencing datasets'
version: 1.31.0
doi: 10.1093/bioinformatics/btw724
identifiers:
- type: doi
  value: 10.32614/CRAN.package.fCCAC
abstract: 'Computational evaluation of variability across DNA or RNA sequencing datasets
  is a crucial step in genomics, as it allows both to evaluate reproducibility of
  replicates, and to compare different datasets to identify potential correlations.
  fCCAC applies functional Canonical Correlation Analysis to allow the assessment
  of: (i) reproducibility of biological or technical replicates, analyzing their shared
  covariance in higher order components; and (ii) the associations between different
  datasets. fCCAC represents a more sophisticated approach that complements Pearson
  correlation of genomic coverage.'
authors:
- family-names: Madrigal
  given-names: Pedro
  email: pmadrigal@ebi.ac.uk
  orcid: https://orcid.org/0000-0003-1959-8199
preferred-citation:
  type: article
  title: 'fCCAC: functional canonical correlation analysis to evaluate covariance
    between nucleic acid sequencing datasets'
  authors:
  - family-names: Madrigal
    given-names: Pedro
    email: pmadrigal@ebi.ac.uk
    orcid: https://orcid.org/0000-0003-1959-8199
  year: '2017'
  volume: '33'
  issue: '5'
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/btw724
  url: http://doi.org/10.1093/bioinformatics/btw724
  start: 746-748
repository: https://bioc.r-universe.dev
commit: c9ac7247714694159ce7deb870fbb3ce93b4368d
date-released: '2022-05-28'
contact:
- family-names: Madrigal
  given-names: Pedro
  email: pmadrigal@ebi.ac.uk
  orcid: https://orcid.org/0000-0003-1959-8199