# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# /opt/recipe, last modified Mon May 11 12:28:31 2020
# ------------------------------------------------

package:
    name: bioconductor-stan
    version: 2.16.0
source:
    md5: 09577afa8d7438aa78fe9c4e0a58b69c
    url:
        - https://bioarchive.galaxyproject.org/STAN_2.16.0.tar.gz
        - https://bioconductor.org/packages/3.11/bioc/src/contrib/STAN_2.16.0.tar.gz
        - https://depot.galaxyproject.org/software/bioconductor-stan/bioconductor-stan_2.16.0_src_all.tar.gz
build:
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r40h5f743cb_0
requirements:
    build:
        - _libgcc_mutex 0.1 conda_forge
        - _openmp_mutex 4.5 0_gnu
        - binutils_impl_linux-64 2.34 h53a641e_0
        - binutils_linux-64 2.34 hc952b39_18
        - gcc_impl_linux-64 7.3.0 hd420e75_5
        - gcc_linux-64 7.3.0 h553295d_18
        - gxx_impl_linux-64 7.3.0 hdf63c60_5
        - gxx_linux-64 7.3.0 h553295d_18
        - ld_impl_linux-64 2.34 h53a641e_0
        - libgcc-ng 9.2.0 h24d8f2e_2
        - libgomp 9.2.0 h24d8f2e_2
        - libstdcxx-ng 9.2.0 hdf63c60_2
        - make 4.3 h516909a_0
    host:
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        - _openmp_mutex 4.5 0_gnu
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        - bioconductor-ensembldb 2.12.1 r40_0
        - bioconductor-genomeinfodb 1.24.0 r40_0
        - bioconductor-genomeinfodbdata 1.2.3 r40_0
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        - bioconductor-genomicfeatures 1.40.0 r40_0
        - bioconductor-genomicranges 1.40.0 r40h037d062_0
        - bioconductor-gviz 1.32.0 r40_0
        - bioconductor-iranges 2.22.1 r40h037d062_0
        - bioconductor-protgenerics 1.20.0 r40_0
        - bioconductor-rhtslib 1.20.0 r40h037d062_0
        - bioconductor-rsamtools 2.4.0 r40h5f743cb_0
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        - bioconductor-s4vectors 0.26.0 r40h037d062_0
        - bioconductor-summarizedexperiment 1.18.1 r40_0
        - bioconductor-variantannotation 1.34.0 r40h037d062_0
        - bioconductor-xvector 0.28.0 r40h037d062_0
        - bioconductor-zlibbioc 1.34.0 r40h037d062_0
        - bwidget 1.9.14 0
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        - curl 7.69.1 h33f0ec9_0
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        - freetype 2.10.1 he06d7ca_0
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        - gcc_linux-64 7.3.0 h553295d_18
        - gettext 0.19.8.1 hc5be6a0_1002
        - gfortran_impl_linux-64 7.3.0 hdf63c60_5
        - gfortran_linux-64 7.3.0 h553295d_18
        - glib 2.58.3 py38h73cb85d_1004
        - graphite2 1.3.13 he1b5a44_1001
        - gsl 2.6 h294904e_0
        - gxx_impl_linux-64 7.3.0 hdf63c60_5
        - gxx_linux-64 7.3.0 h553295d_18
        - harfbuzz 2.4.0 h9f30f68_3
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        - libblas 3.8.0 8_h6e990d7_netlib
        - libcblas 3.8.0 8_h6e990d7_netlib
        - libcurl 7.69.1 hf7181ac_0
        - libedit 3.1.20170329 hf8c457e_1001
        - libffi 3.2.1 he1b5a44_1007
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        - libgfortran-ng 7.3.0 hdf63c60_5
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        - python 3.8.2 he5300dc_7_cpython
        - python_abi 3.8 1_cp38
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        - r-bitops 1.0_6 r40hcdcec82_1004
        - r-blob 1.2.1 r40h6115d3f_1
        - r-callr 3.4.3 r40h6115d3f_1
        - r-checkmate 2.0.0 r40hcdcec82_1
        - r-cli 2.0.2 r40h6115d3f_1
        - r-cluster 2.1.0 r40h9bbef5b_3
        - r-colorspace 1.4_1 r40hcdcec82_2
        - r-crayon 1.3.4 r40h6115d3f_1003
        - r-curl 4.3 r40hcdcec82_1
        - r-data.table 1.12.8 r40hcdcec82_1
        - r-dbi 1.1.0 r40h6115d3f_1
        - r-dbplyr 1.4.3 r40h6115d3f_1
        - r-desc 1.2.0 r40h6115d3f_1003
        - r-dichromat 2.0_0 r40_2002
        - r-digest 0.6.25 r40h0357c0b_2
        - r-dplyr 0.8.5 r40h0357c0b_1
        - r-ellipsis 0.3.0 r40hcdcec82_1
        - r-evaluate 0.14 r40h6115d3f_2
        - r-fansi 0.4.1 r40hcdcec82_1
        - r-farver 2.0.3 r40h0357c0b_1
        - r-foreign 0.8_79 r40hcdcec82_0
        - r-formatr 1.7 r40h6115d3f_2
        - r-formula 1.2_3 r40h6115d3f_1003
        - r-futile.logger 1.4.3 r40h6115d3f_1003
        - r-futile.options 1.0.1 r40h6115d3f_1002
        - r-ggplot2 3.3.0 r40h6115d3f_1
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        - r-gridextra 2.3 r40h6115d3f_1003
        - r-gtable 0.3.0 r40h6115d3f_3
        - r-highr 0.8 r40h6115d3f_2
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        - r-jsonlite 1.6.1 r40hcdcec82_1
        - r-knitr 1.28 r40h6115d3f_1
        - r-labeling 0.3 r40h6115d3f_1003
        - r-lambda.r 1.2.4 r40h6115d3f_1
        - r-lattice 0.20_41 r40hcdcec82_2
        - r-latticeextra 0.6_29 r40h6115d3f_1
        - r-lazyeval 0.2.2 r40hcdcec82_2
        - r-lifecycle 0.2.0 r40h6115d3f_1
        - r-magrittr 1.5 r40h6115d3f_1003
        - r-markdown 1.1 r40hcdcec82_1
        - r-mass 7.3_51.6 r40hcdcec82_2
        - r-matrix 1.2_18 r40h7fa42b6_3
        - r-matrixstats 0.56.0 r40hcdcec82_1
        - r-memoise 1.1.0 r40h6115d3f_1004
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        - r-nlme 3.1_147 r40h9bbef5b_1
        - r-nnet 7.3_14 r40hcdcec82_1
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        - r-pillar 1.4.4 r40h6115d3f_0
        - r-pkgbuild 1.0.8 r40h6115d3f_0
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        - r-pkgload 1.0.2 r40h0357c0b_1002
        - r-plogr 0.2.0 r40h6115d3f_1003
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        - r-praise 1.0.0 r40h6115d3f_1004
        - r-prettyunits 1.1.1 r40h6115d3f_1
        - r-processx 3.4.2 r40hcdcec82_1
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        - r-ps 1.3.3 r40hcdcec82_0
        - r-purrr 0.3.4 r40hcdcec82_1
        - r-r6 2.4.1 r40h6115d3f_1
        - r-rappdirs 0.3.1 r40hcdcec82_1004
        - r-rcolorbrewer 1.1_2 r40h6115d3f_1003
        - r-rcpp 1.0.4.6 r40h0357c0b_1
        - r-rcurl 1.98_1.2 r40hcdcec82_1
        - r-rlang 0.4.6 r40hcdcec82_0
        - r-rpart 4.1_15 r40hcdcec82_2
        - r-rprojroot 1.3_2 r40h6115d3f_1003
        - r-rsolnp 1.16 r40_1003
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        - r-rstudioapi 0.11 r40h6115d3f_1
        - r-scales 1.1.0 r40h6115d3f_1
        - r-snow 0.4_3 r40h6115d3f_1002
        - r-stringi 1.4.6 r40h0e574ca_2
        - r-stringr 1.4.0 r40h6115d3f_2
        - r-survival 3.1_12 r40hcdcec82_1
        - r-sys 3.3 r40hcdcec82_1
        - r-testthat 2.3.2 r40h0357c0b_1
        - r-tibble 3.0.1 r40hcdcec82_1
        - r-tidyselect 1.0.0 r40h6115d3f_1
        - r-truncnorm 1.0_8 r40hcdcec82_1002
        - r-utf8 1.1.4 r40hcdcec82_1003
        - r-vctrs 0.2.4 r40hcdcec82_1
        - r-viridis 0.5.1 r40h6115d3f_1004
        - r-viridislite 0.3.0 r40h6115d3f_1003
        - r-withr 2.2.0 r40h6115d3f_1
        - r-xfun 0.13 r40h6115d3f_1
        - r-xml 3.99_0.3 r40hcdcec82_1
        - r-yaml 2.2.1 r40hcdcec82_1
        - r-zeallot 0.1.0 r40h6115d3f_1002
        - readline 8.0 hf8c457e_0
        - sed 4.7 h1bed415_1000
        - setuptools 46.2.0 py38h32f6830_0
        - sqlite 3.30.1 hcee41ef_0
        - tk 8.6.10 hed695b0_0
        - tktable 2.10 h555a92e_3
        - wheel 0.34.2 py_1
        - xorg-kbproto 1.0.7 h14c3975_1002
        - xorg-libice 1.0.10 h516909a_0
        - xorg-libsm 1.2.3 h84519dc_1000
        - xorg-libx11 1.6.9 h516909a_0
        - xorg-libxau 1.0.9 h14c3975_0
        - xorg-libxdmcp 1.1.3 h516909a_0
        - xorg-libxext 1.3.4 h516909a_0
        - xorg-libxrender 0.9.10 h516909a_1002
        - xorg-renderproto 0.11.1 h14c3975_1002
        - xorg-xextproto 7.3.0 h14c3975_1002
        - xorg-xproto 7.0.31 h14c3975_1007
        - xz 5.2.5 h516909a_0
        - zlib 1.2.11 h516909a_1006
        - zstd 1.4.4 h6597ccf_3
    run:
        - bioconductor-biocgenerics >=0.34.0,<0.35.0
        - bioconductor-genomeinfodb >=1.24.0,<1.25.0
        - bioconductor-genomicranges >=1.40.0,<1.41.0
        - bioconductor-gviz >=1.32.0,<1.33.0
        - bioconductor-iranges >=2.22.0,<2.23.0
        - bioconductor-s4vectors >=0.26.0,<0.27.0
        - libblas >=3.8.0,<4.0a0
        - libgcc-ng >=7.3.0
        - liblapack >=3.8.0,<3.9.0a0
        - libstdcxx-ng >=7.3.0
        - r-base >=4.0,<4.1.0a0
        - r-poilog
        - r-rsolnp
test:
    commands:
        - $R -e "library('STAN')"
about:
    description: Genome segmentation with hidden Markov models has become a useful
        tool to annotate genomic elements, such as promoters and enhancers. STAN (genomic
        STate ANnotation) implements (bidirectional) hidden Markov models (HMMs) using
        a variety of different probability distributions, which can model a wide range
        of current genomic data (e.g. continuous, discrete, binary). STAN de novo
        learns and annotates the genome into a given number of 'genomic states'. The
        'genomic states' may for instance reflect distinct genome-associated protein
        complexes (e.g. 'transcription states') or describe recurring patterns of
        chromatin features (referred to as 'chromatin states'). Unlike other tools,
        STAN also allows for the integration of strand-specific (e.g. RNA) and non-strand-specific
        data (e.g. ChIP).
    home: https://bioconductor.org/packages/3.11/bioc/html/STAN.html
    license: GPL (>= 2)
    license_file: /opt/conda/conda-bld/bioconductor-stan_1589217455054/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/lib/R/share/licenses/GPL-3
    summary: The Genomic STate ANnotation Package
extra:
    copy_test_source_files: true
    final: true
    identifiers:
        - biotools:stan
