{
  "channels": [
    "file:///Users/runner/bioconda/conda-bld",
    "conda-forge",
    "bioconda",
    "defaults",
    "conda-forge",
    "bioconda",
    "defaults"
  ],
  "conda_build_version": "3.19.2",
  "conda_private": false,
  "conda_version": "4.6.14",
  "description": "The R implementation of mCOPA package published by Wang et al. (2012). Oppar provides methods for Cancer Outlier profile Analysis. Although initially developed to detect outlier genes in cancer studies, methods presented in oppar can be used for outlier profile analysis in general. In addition, tools are provided for gene set enrichment and pathway analysis.",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "identifiers": [
      "biotools:oppar"
    ],
    "parent_recipe": {
      "name": "bioconductor-oppar",
      "path": "recipes/bioconductor-oppar",
      "version": "1.8.0"
    }
  },
  "home": "https://bioconductor.org/packages/3.11/bioc/html/oppar.html",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-2",
  "license_file": "/Users/runner/bioconda/conda-bld/bioconductor-oppar_1589321098724/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pl/lib/R/share/licenses/GPL-2",
  "root_pkgs": [
    "bzip2 1.0.8 h0b31af3_2",
    "libedit 3.1.20170329 hcfe32e1_1001",
    "pyopenssl 19.0.0 py37_0",
    "gidgethub 3.0.0 py_0",
    "pygments 2.6.1 py_0",
    "tqdm 4.46.0 pyh9f0ad1d_0",
    "pandas 0.23.4 py37h1702cab_1000",
    "curl 7.64.0 heae2a1f_0",
    "setuptools 46.2.0 py37hc8dfbb8_0",
    "pyaml 17.12.1 py_0",
    "aioftp 0.12.0 py_0",
    "chardet 3.0.4 py37hc8dfbb8_1006",
    "aiohttp-session 2.7.0 py_0",
    "libffi 3.2.1 h4a8c4bd_1007",
    "jsonschema 2.6.0 py37_1002",
    "sphinxcontrib-qthelp 1.0.3 py_0",
    "gitpython 3.0.8 py_0",
    "sphinx-autodoc-typehints 1.10.3 py_0",
    "libcurl 7.64.0 h76de61e_0",
    "py-lief 0.9.0 py37h0ceac7d_1",
    "libarchive 3.3.3 h5ee49f8_1002",
    "sphinxcontrib-serializinghtml 1.1.4 py_0",
    "libblas 3.8.0 16_openblas",
    "cryptography 2.5 py37hdbc3d79_1",
    "idna 2.8 py37_1000",
    "boltons 18.0.1 py_0",
    "gitdb2 3.0.2 py_0",
    "libcxx 10.0.0 h1af66ff_2",
    "glob2 0.7 py_0",
    "async-timeout 3.0.1 py_1000",
    "icu 67.1 h4a8c4bd_0",
    "aiohttp-jinja2 1.1.2 py_0",
    "sqlite 3.28.0 h9721f7c_0",
    "hiredis 1.0.1 py37h9bfed18_1",
    "readline 7.0 hcfe32e1_1001",
    "smmap 3.0.4 pyh9f0ad1d_0",
    "decorator 4.4.2 py_0",
    "conda-forge-pinning 2020.05.02.14.58.15 0",
    "galaxy-lib 19.5.2 py_0",
    "aioredis 1.2.0 py_0",
    "snowballstemmer 2.0.0 py_0",
    "pysocks 1.7.1 py37hc8dfbb8_1",
    "requests 2.22.0 py37_1",
    "cffi 1.14.0 py37h356ff06_0",
    "importlib_metadata 1.6.0 0",
    "libxml2 2.9.10 hc06c4ae_1",
    "libiconv 1.15 h0b31af3_1006",
    "yaml 0.2.4 h0b31af3_0",
    "ripgrep 12.1.0 h0b31af3_0",
    "brotlipy 0.7.0 py37h9bfed18_1000",
    "backoff 1.6.0 py_1",
    "conda-build 3.19.2 py37hc8dfbb8_2",
    "sphinxcontrib-devhelp 1.0.2 py_0",
    "liblapack 3.8.0 16_openblas",
    "smmap2 3.0.1 py_0",
    "filelock 3.0.10 py_0",
    "conda 4.6.14 py37_0",
    "markdown 3.1.1 py_0",
    "sphinxcontrib-htmlhelp 1.0.3 py_0",
    "vine 1.3.0 py_0",
    "click 7.1.2 pyh9f0ad1d_0",
    "pycparser 2.20 py_0",
    "kombu 4.6.8 py37hc8dfbb8_1",
    "tk 8.6.10 hbbe82c9_0",
    "skopeo 0.1.35 h72072b9_1",
    "sphinx 3.0.3 py_0",
    "pyparsing 2.4.7 pyh9f0ad1d_0",
    "urllib3 1.25.9 py_0",
    "celery 4.2.2 py_0",
    "colorlog 3.1.4 py37_1000",
    "python 3.7.1 h145921a_1000",
    "future 0.18.2 py37hc8dfbb8_1",
    "regex 2018.08.29 py37h1de35cc_1000",
    "markupsafe 1.1.1 py37h9bfed18_1",
    "libopenblas 0.3.9 h3d69b6c_0",
    "llvm-openmp 10.0.0 h28b9765_0",
    "billiard 3.6.3.0 py37h0b31af3_0",
    "aiohttp 3.4.4 py37h1de35cc_1000",
    "aiohttp-security 0.4.0 py_0",
    "aiofiles 0.4.0 py_1001",
    "alabaster 0.7.12 py_0",
    "babel 2.8.0 py_0",
    "jinja2 2.10.3 py_0",
    "bioconda-utils 0.16.17 py_0",
    "anaconda-client 1.6.14 py_0",
    "packaging 20.1 py_0",
    "uritemplate 3.0.1 py_0",
    "zlib 1.2.11 h0b31af3_1006",
    "jupyter_core 4.6.3 py37hc8dfbb8_1",
    "pytz 2020.1 pyh9f0ad1d_0",
    "attrs 19.3.0 py_0",
    "argh 0.26.2 py37_1001",
    "pycosat 0.6.3 py37h9bfed18_1004",
    "python_abi 3.7 1_cp37m",
    "ca-certificates 2020.4.5.1 hecc5488_0",
    "sphinxcontrib-applehelp 1.0.2 py_0",
    "psutil 5.7.0 py37h9bfed18_1",
    "amqp 2.5.2 py_0",
    "pip 20.1 pyh9f0ad1d_0",
    "git 2.14.2 3",
    "pyyaml 5.3.1 py37h9bfed18_0",
    "krb5 1.16.3 h24a3359_1000",
    "wheel 0.34.2 py_1",
    "libcblas 3.8.0 16_openblas",
    "conda-verify 3.1.1 py37hc8dfbb8_1001",
    "liblief 0.9.0 h3e78482_1",
    "clyent 1.2.2 py_1",
    "nbformat 5.0.6 py_0",
    "sphinxcontrib-jsmath 1.0.1 py_0",
    "docutils 0.16 py37hc8dfbb8_1",
    "pkginfo 1.5.0.1 py_0",
    "libgfortran 4.0.0 2",
    "ruamel_yaml 0.15.80 py37h9bfed18_1001",
    "openssl 1.0.2u h0b31af3_0",
    "certifi 2020.4.5.1 py37hc8dfbb8_0",
    "sqlalchemy 1.3.16 py37h9bfed18_0",
    "involucro 1.1.2 1",
    "zipp 3.1.0 py_0",
    "ncurses 6.1 h0a44026_1002",
    "gunicorn 19.9.0 py37_1000",
    "cachetools 3.0.0 py_0",
    "pyjwt 1.7.1 py_0",
    "lz4-c 1.8.1.2 0",
    "imagesize 1.2.0 py_0",
    "multidict 4.7.5 py37h9bfed18_1",
    "zstd 1.3.3 1",
    "numpy 1.18.4 py37h7687784_0",
    "ipython_genutils 0.2.0 py_1",
    "lzo 2.10 h1de35cc_1000",
    "yarl 1.3.0 py37h0b31af3_1000",
    "beautifulsoup4 4.6.3 py37_1000",
    "six 1.14.0 py_1",
    "asn1crypto 1.3.0 py37hc8dfbb8_1",
    "python-libarchive-c 2.9 py37_0",
    "xz 5.2.5 h0b31af3_0",
    "python-dateutil 2.8.1 py_0",
    "libssh2 1.8.0 hf30b1f0_1003",
    "networkx 1.11 py37_1",
    "importlib-metadata 1.6.0 py37hc8dfbb8_0",
    "traitlets 4.3.3 py37hc8dfbb8_1",
    "conda-package-handling 1.6.0 py37h9bfed18_2",
    "simplejson 3.17.0 py37h9bfed18_1",
    "expat 2.2.9 h4a8c4bd_2"
  ],
  "summary": "Outlier profile and pathway analysis in R",
  "tags": []
}