{% set version = "3.54.0" %}
{% set name = "vsn" %}
{% set bioc = "3.10" %}

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: 4aa21023b404468ae5246826f49c40ce
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
# Suggests: affydata, hgu95av2cdf, BiocStyle, knitr, dplyr, testthat
requirements:
  host:
    - 'bioconductor-affy >=1.64.0,<1.65.0'
    - 'bioconductor-biobase >=2.46.0,<2.47.0'
    - 'bioconductor-limma >=3.42.0,<3.43.0'
    - r-base
    - r-ggplot2
    - r-lattice
  run:
    - 'bioconductor-affy >=1.64.0,<1.65.0'
    - 'bioconductor-biobase >=2.46.0,<2.47.0'
    - 'bioconductor-limma >=3.42.0,<3.43.0'
    - r-base
    - r-ggplot2
    - r-lattice
  build:
    - {{ compiler('c') }}
    - make
test:
  commands:
    - '$R -e "library(''{{ name }}'')"'
about:
  home: 'https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html'
  license: Artistic-2.0
  summary: 'Variance stabilization and calibration for microarray data'
  description: 'The package implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. It can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation. Differences between transformed intensities are analogous to "normalized log-ratios". However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.'
extra:
  identifiers:
    - biotools:vsn
  parent_recipe:
    name: bioconductor-vsn
    path: recipes/bioconductor-vsn
    version: 3.48.1

