{% set version = "1.24.0" %}
{% set name = "SeqGSEA" %}
{% set bioc = "3.9" %}

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|lower }}/bioconductor-{{ name|lower }}_{{ version }}_src_all.tar.gz'
  md5: 99baf889467af15810cf88111873c40f
build:
  number: 1
  rpaths:
    - lib/R/lib/
    - lib/
  noarch: generic
# Suggests: easyRNASeq, GenomicRanges
requirements:
  host:
    - 'bioconductor-biobase >=2.44.0,<2.45.0'
    - 'bioconductor-biomart >=2.40.0,<2.41.0'
    - 'bioconductor-deseq >=1.36.0,<1.37.0'
    - r-base
    - r-doparallel
  run:
    - 'bioconductor-biobase >=2.44.0,<2.45.0'
    - 'bioconductor-biomart >=2.40.0,<2.41.0'
    - 'bioconductor-deseq >=1.36.0,<1.37.0'
    - r-base
    - r-doparallel
test:
  commands:
    - '$R -e "library(''{{ name }}'')"'
about:
  home: 'https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html'
  license: 'GPL (>= 3)'
  summary: 'The package generally provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively.'
extra:
  identifiers:
    - biotools:seqgsea
  parent_recipe:
    name: bioconductor-seqgsea
    path: recipes/bioconductor-seqgsea
    version: 1.20.0

