# This file created by conda-build 24.7.1
# meta.yaml template originally from:
# /opt/recipe, last modified Wed Dec 25 04:04:42 2024
# ------------------------------------------------

package:
  name: bioconductor-anota2seq
  version: 1.28.0
source:
  md5: ea94d12f3010127e0fc8add4930650f8
  url:
    - https://bioarchive.galaxyproject.org/anota2seq_1.28.0.tar.gz
    - https://bioconductor.org/packages/3.20/bioc/src/contrib/Archive/anota2seq/anota2seq_1.28.0.tar.gz
    - https://bioconductor.org/packages/3.20/bioc/src/contrib/anota2seq_1.28.0.tar.gz
    - https://depot.galaxyproject.org/software/bioconductor-anota2seq/bioconductor-anota2seq_1.28.0_src_all.tar.gz
build:
  noarch: generic
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  run_exports: bioconductor-anota2seq >=1.28.0,<1.29.0a0
  string: r44hdfd78af_0
requirements:
  host:
    - _libgcc_mutex 0.1 conda_forge
    - _openmp_mutex 4.5 2_gnu
    - _r-mutex 1.0.1 anacondar_1
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    - bioconductor-data-packages 20241220 hdfd78af_0
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    - bioconductor-summarizedexperiment 1.36.0 r44hdfd78af_0
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    - libgcc 14.2.0 h77fa898_1
    - libgcc-devel_linux-64 14.2.0 h41c2201_101
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    - libsqlite 3.47.2 hee588c1_0
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    - libstdcxx 14.2.0 hc0a3c3a_1
    - libstdcxx-devel_linux-64 14.2.0 h41c2201_101
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    - python 3.13.1 ha99a958_102_cp313
    - python_abi 3.13 5_cp313
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    - r-formatr 1.14 r44hc72bb7e_2
    - r-futile.logger 1.4.3 r44hc72bb7e_1006
    - r-futile.options 1.0.1 r44hc72bb7e_1005
    - r-ggplot2 3.5.1 r44hc72bb7e_1
    - r-glue 1.8.0 r44h2b5f3a1_0
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    - r-jsonlite 1.8.9 r44h2b5f3a1_0
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    - r-lattice 0.22_6 r44hb1dbf0f_1
    - r-lifecycle 1.0.4 r44hc72bb7e_1
    - r-locfit 1.5_9.10 r44h2b5f3a1_0
    - r-magrittr 2.0.3 r44hb1dbf0f_3
    - r-mass 7.3_60.0.1 r44hb1dbf0f_1
    - r-matrix 1.6_5 r44he966344_1
    - r-matrixstats 1.4.1 r44h2b5f3a1_0
    - r-mgcv 1.9_1 r44h0d28552_1
    - r-mime 0.12 r44hb1dbf0f_3
    - r-munsell 0.5.1 r44hc72bb7e_1
    - r-nlme 3.1_165 r44hbcb9c34_1
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    - r-pillar 1.10.0 r44hc72bb7e_0
    - r-pkgconfig 2.0.3 r44hc72bb7e_4
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    - r-rcpparmadillo 14.2.2_1 r44hb79369c_0
    - r-reshape2 1.4.4 r44h0d4f4ea_4
    - r-rlang 1.1.4 r44ha18555a_1
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    - r-stringr 1.5.1 r44h785f33e_1
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    - r-sys 3.4.3 r44h2b5f3a1_0
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    - r-utf8 1.2.4 r44hb1dbf0f_1
    - r-vctrs 0.6.5 r44h0d4f4ea_1
    - r-viridislite 0.4.2 r44hc72bb7e_2
    - r-withr 3.0.2 r44hc72bb7e_0
    - readline 8.2 h8228510_1
    - sed 4.8 he412f7d_0
    - setuptools 75.6.0 pyhff2d567_1
    - sysroot_linux-64 2.17 h4a8ded7_18
    - tk 8.6.13 noxft_h4845f30_101
    - tktable 2.10 h8bc8fbc_6
    - toml 0.10.2 pyhd8ed1ab_1
    - tomlkit 0.13.2 pyha770c72_1
    - tzdata 2024b hc8b5060_0
    - xmltodict 0.14.2 pyhd8ed1ab_1
    - xorg-libice 1.1.2 hb9d3cd8_0
    - 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-libxrender 0.9.12 hb9d3cd8_0
    - xorg-libxt 1.3.1 hb9d3cd8_0
    - yaml 0.2.5 h7f98852_2
    - yq 3.4.3 pyhd8ed1ab_1
    - zstd 1.5.6 ha6fb4c9_0
  run:
    - bioconductor-deseq2 >=1.46.0,<1.47.0
    - bioconductor-edger >=4.4.0,<4.5.0
    - bioconductor-limma >=3.62.0,<3.63.0
    - bioconductor-multtest >=2.62.0,<2.63.0
    - bioconductor-qvalue >=2.38.0,<2.39.0
    - bioconductor-summarizedexperiment >=1.36.0,<1.37.0
    - r-base >=4.4,<4.5.0a0
    - r-base >=4.4,<4.5.0a0
    - r-rcolorbrewer
test:
  commands:
    - $R -e "library('anota2seq')"
about:
  description: anota2seq provides analysis of translational efficiency and differential
    expression analysis for polysome-profiling and ribosome-profiling studies (two
    or more sample classes) quantified by RNA sequencing or DNA-microarray. Polysome-profiling
    and ribosome-profiling typically generate data for two RNA sources; translated
    mRNA and total mRNA. Analysis of differential expression is used to estimate changes
    within each RNA source (i.e. translated mRNA or total mRNA). Analysis of translational
    efficiency aims to identify changes in translation efficiency leading to altered
    protein levels that are independent of total mRNA levels (i.e. changes in translated
    mRNA that are independent of levels of total mRNA) or buffering, a mechanism regulating
    translational efficiency so that protein levels remain constant despite fluctuating
    total mRNA levels (i.e. changes in total mRNA that are independent of levels of
    translated mRNA). anota2seq applies analysis of partial variance and the random
    variance model to fulfill these tasks.
  home: https://bioconductor.org/packages/3.20/bioc/html/anota2seq.html
  license: GPL-3
  license_file: /opt/conda/conda-bld/bioconductor-anota2seq_1735107757948/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_/lib/R/share/licenses/GPL-3
  summary: Generally applicable transcriptome-wide analysis of translational efficiency
    using anota2seq
extra:
  copy_test_source_files: true
  final: true
