# This file created by conda-build 3.18.7
# meta.yaml template originally from:
# /opt/recipe, last modified Fri Jul 19 22:36:47 2019
# ------------------------------------------------

package:
    name: bioconductor-ibbig
    version: 1.28.0
source:
    md5: a8c422a7147d66279038caa3afbd353b
    url:
        - https://bioarchive.galaxyproject.org/iBBiG_1.28.0.tar.gz
        - https://bioconductor.org/packages/3.9/bioc/src/contrib/iBBiG_1.28.0.tar.gz
        - https://depot.galaxyproject.org/software/bioconductor-ibbig/bioconductor-ibbig_1.28.0_src_all.tar.gz
build:
    number: '1'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r36h516909a_1
requirements:
    build:
        - _libgcc_mutex 0.1 main
        - binutils_impl_linux-64 2.31.1 h6176602_1
        - binutils_linux-64 2.31.1 h6176602_7
        - gcc_impl_linux-64 7.3.0 habb00fd_1
        - gcc_linux-64 7.3.0 h553295d_7
        - libgcc-ng 9.1.0 hdf63c60_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - make 4.2.1 h14c3975_2004
    host:
        - _libgcc_mutex 0.1 main
        - _r-mutex 1.0.1 anacondar_1
        - binutils_impl_linux-64 2.31.1 h6176602_1
        - binutils_linux-64 2.31.1 h6176602_7
        - bwidget 1.9.11 0
        - bzip2 1.0.8 h516909a_0
        - ca-certificates 2019.6.16 hecc5488_0
        - cairo 1.16.0 h18b612c_1001
        - curl 7.65.3 hf8cf82a_0
        - fontconfig 2.13.1 he4413a7_1000
        - freetype 2.10.0 he983fc9_0
        - gcc_impl_linux-64 7.3.0 habb00fd_1
        - gcc_linux-64 7.3.0 h553295d_7
        - gettext 0.19.8.1 hc5be6a0_1002
        - gfortran_impl_linux-64 7.3.0 hdf63c60_1
        - gfortran_linux-64 7.3.0 h553295d_7
        - glib 2.58.3 h6f030ca_1002
        - graphite2 1.3.13 hf484d3e_1000
        - gsl 2.5 h294904e_0
        - gxx_impl_linux-64 7.3.0 hdf63c60_1
        - gxx_linux-64 7.3.0 h553295d_7
        - harfbuzz 2.4.0 h37c48d4_1
        - icu 58.2 hf484d3e_1000
        - jpeg 9c h14c3975_1001
        - krb5 1.16.3 h05b26f9_1001
        - libblas 3.8.0 10_openblas
        - libcblas 3.8.0 10_openblas
        - libcurl 7.65.3 hda55be3_0
        - libedit 3.1.20170329 hf8c457e_1001
        - libffi 3.2.1 he1b5a44_1006
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libiconv 1.15 h516909a_1005
        - liblapack 3.8.0 10_openblas
        - libopenblas 0.3.6 h6e990d7_4
        - libpng 1.6.37 hed695b0_0
        - libssh2 1.8.2 h22169c7_2
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - libtiff 4.0.10 h57b8799_1003
        - libuuid 2.32.1 h14c3975_1000
        - libxcb 1.13 h14c3975_1002
        - libxml2 2.9.9 h13577e0_2
        - lz4-c 1.8.3 he1b5a44_1001
        - make 4.2.1 h14c3975_2004
        - ncurses 6.1 hf484d3e_1002
        - openblas 0.3.6 h6e990d7_4
        - openssl 1.1.1c h516909a_0
        - pango 1.40.14 he7ab937_1005
        - pcre 8.41 hf484d3e_1003
        - pixman 0.38.0 h516909a_1003
        - pthread-stubs 0.4 h14c3975_1001
        - r-additivitytests 1.1_4 r36h6115d3f_1002
        - r-ade4 1.7_13 r36hcdcec82_1001
        - r-assertthat 0.2.1 r36h6115d3f_1
        - r-backports 1.1.4 r36hcdcec82_1
        - r-base 3.6.1 h8900bf8_2
        - r-bh 1.69.0_1 r36h6115d3f_1
        - r-biclust 2.0.1 r36hcdcec82_1002
        - r-class 7.3_15 r36hcdcec82_1001
        - r-cli 1.1.0 r36h6115d3f_1
        - r-colorspace 1.4_1 r36hcdcec82_1
        - r-crayon 1.3.4 r36h6115d3f_1002
        - r-digest 0.6.20 r36h0357c0b_1
        - r-dplyr 0.8.3 r36h0357c0b_1
        - r-ellipsis 0.2.0.1 r36hcdcec82_1
        - r-fansi 0.4.0 r36hcdcec82_1001
        - r-flexclust 1.4_0 r36hcdcec82_1
        - r-ggplot2 3.2.0 r36h6115d3f_1
        - r-glue 1.3.1 r36hcdcec82_1
        - r-gtable 0.3.0 r36h6115d3f_1
        - r-labeling 0.3 r36h6115d3f_1002
        - r-lattice 0.20_38 r36hcdcec82_1001
        - r-lazyeval 0.2.2 r36hcdcec82_1
        - r-magrittr 1.5 r36h6115d3f_1002
        - r-mass 7.3_51.4 r36hcdcec82_1
        - r-matrix 1.2_17 r36hcdcec82_1
        - r-mgcv 1.8_28 r36hcdcec82_1
        - r-modeltools 0.2_22 r36h6115d3f_1002
        - r-munsell 0.5.0 r36h6115d3f_1002
        - r-nlme 3.1_140 r36h9bbef5b_1
        - r-pillar 1.4.2 r36h6115d3f_2
        - r-pkgconfig 2.0.2 r36h6115d3f_1002
        - r-plogr 0.2.0 r36h6115d3f_1002
        - r-plyr 1.8.4 r36h0357c0b_1003
        - r-purrr 0.3.2 r36hcdcec82_1
        - r-r6 2.4.0 r36h6115d3f_1
        - r-rcolorbrewer 1.1_2 r36h6115d3f_1002
        - r-rcpp 1.0.1 r36h0357c0b_1
        - r-reshape2 1.4.3 r36h0357c0b_1004
        - r-rlang 0.4.0 r36hcdcec82_1
        - r-scales 1.0.0 r36h0357c0b_1002
        - r-stringi 1.4.3 r36h0357c0b_1
        - r-stringr 1.4.0 r36h6115d3f_1
        - r-tibble 2.1.3 r36hcdcec82_1
        - r-tidyr 0.8.3 r36h0357c0b_1
        - r-tidyselect 0.2.5 r36h0357c0b_1001
        - r-utf8 1.1.4 r36hcdcec82_1001
        - r-vctrs 0.2.0 r36hcdcec82_1
        - r-viridislite 0.3.0 r36h6115d3f_1002
        - r-withr 2.1.2 r36h6115d3f_1001
        - r-xtable 1.8_4 r36h6115d3f_1
        - r-zeallot 0.1.0 r36h6115d3f_1001
        - readline 8.0 hf8c457e_0
        - sed 4.7 h1bed415_1000
        - tk 8.6.9 hed695b0_1002
        - tktable 2.10 h555a92e_1
        - xorg-kbproto 1.0.7 h14c3975_1002
        - xorg-libice 1.0.10 h516909a_0
        - xorg-libsm 1.2.3 h84519dc_1000
        - xorg-libx11 1.6.8 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 5.2.4 h14c3975_1001
        - zlib 1.2.11 h516909a_1005
        - zstd 1.4.0 h3b9ef0a_0
    run:
        - libgcc-ng >=7.3.0
        - r-ade4
        - r-base >=3.6,<3.7.0a0
        - r-biclust
        - r-xtable
test:
    commands:
        - $R -e "library('iBBiG')"
about:
    home: https://bioconductor.org/packages/3.9/bioc/html/iBBiG.html
    license: Artistic-2.0
    summary: iBBiG is a bi-clustering algorithm which is optimizes for binary data
        analysis. We apply it to meta-gene set analysis of large numbers of gene expression
        datasets. The iterative algorithm extracts groups of phenotypes from multiple
        studies that are associated with similar gene sets. iBBiG does not require
        prior knowledge of the number or scale of clusters and allows discovery of
        clusters with diverse sizes
extra:
    copy_test_source_files: true
    final: true
