# This file created by conda-build 24.7.1
# meta.yaml template originally from:
# /opt/recipe, last modified Fri Jan  3 22:04:37 2025
# ------------------------------------------------

package:
  name: bioconductor-enrichviewnet
  version: 1.4.0
source:
  md5: 24bfac4e66bb94854260dd6a535e7c6e
  url:
    - https://bioarchive.galaxyproject.org/enrichViewNet_1.4.0.tar.gz
    - https://bioconductor.org/packages/3.20/bioc/src/contrib/Archive/enrichViewNet/enrichViewNet_1.4.0.tar.gz
    - https://bioconductor.org/packages/3.20/bioc/src/contrib/enrichViewNet_1.4.0.tar.gz
    - https://depot.galaxyproject.org/software/bioconductor-enrichviewnet/bioconductor-enrichviewnet_1.4.0_src_all.tar.gz
build:
  noarch: generic
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  run_exports: bioconductor-enrichviewnet >=1.4.0,<1.5.0a0
  string: r44hdfd78af_0
requirements:
  host:
    - _libgcc_mutex 0.1 conda_forge
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    - setuptools 75.6.0 pyhff2d567_1
    - sysroot_linux-64 2.17 h0157908_18
    - tk 8.6.13 noxft_h4845f30_101
    - tktable 2.10 h8bc8fbc_6
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    - tomlkit 0.13.2 pyha770c72_1
    - tzdata 2024b hc8b5060_0
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    - xorg-libsm 1.2.5 he73a12e_0
    - xorg-libx11 1.8.10 h4f16b4b_1
    - xorg-libxau 1.0.12 hb9d3cd8_0
    - xorg-libxdmcp 1.1.5 hb9d3cd8_0
    - xorg-libxext 1.3.6 hb9d3cd8_0
    - xorg-libxfixes 6.0.1 hb9d3cd8_0
    - xorg-libxi 1.8.2 hb9d3cd8_0
    - xorg-libxrandr 1.5.4 hb9d3cd8_0
    - xorg-libxrender 0.9.12 hb9d3cd8_0
    - xorg-libxt 1.3.1 hb9d3cd8_0
    - xorg-libxtst 1.2.5 hb9d3cd8_3
    - yaml 0.2.5 h7f98852_2
    - yq 3.4.3 pyhd8ed1ab_1
    - zeromq 4.3.5 h3b0a872_7
    - zstd 1.5.6 ha6fb4c9_0
  run:
    - bioconductor-dose >=4.0.0,<4.1.0
    - bioconductor-enrichplot >=1.26.0,<1.27.0
    - bioconductor-rcy3 >=2.26.0,<2.27.0
    - r-base >=4.4,<4.5.0a0
    - r-base >=4.4,<4.5.0a0
    - r-gprofiler2
    - r-jsonlite
    - r-strex
    - r-stringr
test:
  commands:
    - $R -e "library('enrichViewNet')"
about:
  description: This package enables the visualization of functional enrichment results
    as network graphs. First the package enables the visualization of enrichment results,
    in a format corresponding to the one generated by gprofiler2, as a customizable
    Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein
    complexes) and genes associated to the datasets are represented as nodes. While
    the edges connect each gene to its dataset(s). The package also provides the option
    to create enrichment maps from functional enrichment results. Enrichment maps
    enable the visualization of enriched terms into a network with edges connecting
    overlapping genes.
  home: https://bioconductor.org/packages/3.20/bioc/html/enrichViewNet.html
  license: Artistic-2.0
  summary: From functional enrichment results to biological networks
extra:
  copy_test_source_files: true
  final: true
