{% set version = "1.10.0" %}
{% set name = "spqn" %}
{% set bioc = "3.16" %}

package:
  name: 'bioconductor-{{ name|lower }}'
  version: '{{ version }}'
source:
  url:
    - 'https://bioconductor.org/packages/{{ bioc }}/bioc/src/contrib/{{ name }}_{{ version }}.tar.gz'
    - 'https://bioarchive.galaxyproject.org/{{ name }}_{{ version }}.tar.gz'
    - 'https://depot.galaxyproject.org/software/bioconductor-{{ name }}/bioconductor-{{ name }}_{{ version }}_src_all.tar.gz'
  md5: a8acde152f9706f490760735727e1633
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
  noarch: generic
# Suggests: BiocStyle, knitr, rmarkdown, tools, spqnData (>= 0.99.3), RUnit
requirements:
  host:
    - 'bioconductor-biocgenerics >=0.44.0,<0.45.0'
    - 'bioconductor-summarizedexperiment >=1.28.0,<1.29.0'
    - r-base
    - r-ggplot2
    - r-ggridges
    - r-matrixstats
  run:
    - 'bioconductor-biocgenerics >=0.44.0,<0.45.0'
    - 'bioconductor-summarizedexperiment >=1.28.0,<1.29.0'
    - r-base
    - r-ggplot2
    - r-ggridges
    - r-matrixstats
test:
  commands:
    - '$R -e "library(''{{ name }}'')"'
about:
  home: 'https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html'
  license: Artistic-2.0
  summary: 'Spatial quantile normalization'
  description: 'The spqn package implements spatial quantile normalization (SpQN). This method was developed to remove a mean-correlation relationship in correlation matrices built from gene expression data. It can serve as pre-processing step prior to a co-expression analysis.'

