# This file created by conda-build 2.1.16
# meta.yaml template originally from:
# /Users/travis/build/bioconda/bioconda-recipes/recipes/bioconductor-phosphonormalizer, last modified Wed Nov  1 07:49:42 2017
# ------------------------------------------------

package:
    name: bioconductor-phosphonormalizer
    version: 1.2.0
source:
    fn: phosphonormalizer_1.2.0.tar.gz
    sha256: fecf78aebe6dfc4398d16e7f4ea711119b6d5782af7819cc13c0dc0155ce1fd0
    url:
        - http://bioconductor.org/packages/3.6/bioc/src/contrib/phosphonormalizer_1.2.0.tar.gz
        - https://depot.galaxyproject.org/software/phosphonormalizer/phosphonormalizer_1.2.0_src_all.tar.gz
build:
    noarch: ''
    noarch_python: false
    number: '0'
    rpaths:
        - lib/R/lib/
        - lib/
    string: '0'
requirements:
    build:
        - jpeg 9b 1
        - gsl 2.1 2
        - glib 2.51.4 0
        - r-matrixstats 0.52.2 r3.4.1_0
        - tk 8.5.19 2
        - freetype 2.7 1
        - libxml2 2.9.5 0
        - libtiff 4.0.7 0
        - libpng 1.6.28 1
        - libiconv 1.14 4
        - icu 58.1 1
        - pango 1.40.4 0
        - harfbuzz 1.4.3 0
        - graphite2 1.3.9 0
        - ncurses 5.9 10
        - readline 6.2 0
        - fontconfig 2.12.1 4
        - cairo 1.14.6 4
        - curl 7.54.1 0
        - r-base 3.4.1 0
        - krb5 1.14.2 0
        - xz 5.2.3 0
        - libffi 3.2.1 1
        - ca-certificates 2017.7.27.1 0
        - r-plyr 1.8.4 r3.4.1_0
        - pcre 8.39 0
        - openssl 1.0.2l 0
        - pixman 0.34.0 0
        - r-rcpp 0.12.13 r3.4.1_0
        - libssh2 1.8.0 1
        - gettext 0.19.8.1 0
        - libgcc 4.8.5 1
        - zlib 1.2.8 3
    run:
        - r-base >=3.4.0
        - r-matrixstats
        - r-plyr
test:
    commands:
        - $R -e "library('phosphonormalizer')"
about:
    home: http://bioconductor.org/packages/3.6/bioc/html/phosphonormalizer.html
    license: GPL (>= 2)
    summary: It uses the overlap between enriched and non-enriched datasets to compensate
        for the bias introduced in global phosphorylation after applying median normalization.
extra:
    final: true
