# This file created by conda-build 2.1.16
# meta.yaml template originally from:
# /Users/travis/build/bioconda/bioconda-recipes/recipes/bioconductor-acme, last modified Wed Aug 23 21:25:31 2017
# ------------------------------------------------

package:
    name: bioconductor-acme
    version: 2.32.0
source:
    fn: ACME_2.32.0.tar.gz
    md5: f99ea6b94399fd7a10f55ac7e7ec04fa
    url:
        - http://bioconductor.org/packages/3.5/bioc/src/contrib/ACME_2.32.0.tar.gz
        - https://bioarchive.galaxyproject.org/ACME_2.32.0.tar.gz
        - https://depot.galaxyproject.org/software/ACME/ACME_2.32.0_src_all.tar.gz
build:
    noarch: ''
    noarch_python: false
    number: '0'
    rpaths:
        - lib/R/lib/
        - lib/
    string: r3.3.2_0
requirements:
    build:
        - graphite2 1.3.9 0
        - glib 2.51.4 0
        - gsl 2.1 2
        - pango 1.40.4 0
        - freetype 2.7 1
        - libxml2 2.9.4 4
        - curl 7.54.1 0
        - libtiff 4.0.6 7
        - ca-certificates 2017.7.27.1 0
        - libgcc 4.8.5 1
        - fontconfig 2.12.1 4
        - ncurses 5.9 10
        - pcre 8.39 0
        - tk 8.5.19 2
        - icu 58.1 1
        - cairo 1.14.6 4
        - pixman 0.34.0 0
        - bioconductor-biobase 2.34.0 r3.3.2_0
        - xz 5.2.3 0
        - readline 6.2 0
        - bioconductor-biocgenerics 0.20.0 r3.3.2_0
        - openssl 1.0.2l 0
        - libpng 1.6.28 1
        - jpeg 9b 0
        - harfbuzz 1.4.3 0
        - libiconv 1.14 4
        - gettext 0.19.8.1 0
        - libffi 3.2.1 1
        - krb5 1.14.2 0
        - zlib 1.2.8 3
        - libssh2 1.8.0 1
        - r-base 3.3.2 5
    run:
        - bioconductor-biobase >=2.5.5
        - bioconductor-biocgenerics
        - r-base
test:
    commands:
        - $R -e "library('ACME')"
about:
    home: http://bioconductor.org/packages/3.5/bioc/html/ACME.html
    license: GPL (>= 2)
    summary: ACME (Algorithms for Calculating Microarray Enrichment) is a set of tools
        for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments
        that result in regions of the genome showing "enrichment".  It does not rely
        on a specific array technology (although the array should be a "tiling" array),
        is very general (can be applied in experiments resulting in regions of enrichment),
        and is very insensitive to array noise or normalization methods.  It is also
        very fast and can be applied on whole-genome tiling array experiments quite
        easily with enough memory.
extra:
    final: true
