# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# /opt/recipe, last modified Thu Jun  3 06:09:08 2021
# ------------------------------------------------

package:
  name: bioconductor-sevenc
  version: 1.12.0
source:
  md5: 56aad61b2fe15a4e2d50663d6e4e0faf
  url:
    - https://bioarchive.galaxyproject.org/sevenC_1.12.0.tar.gz
    - https://bioconductor.org/packages/3.13/bioc/src/contrib/sevenC_1.12.0.tar.gz
    - https://depot.galaxyproject.org/software/bioconductor-sevenc/bioconductor-sevenc_1.12.0_src_all.tar.gz
build:
  noarch: generic
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r41hdfd78af_0
requirements:
  host:
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    - r-purrr 0.3.4 r41hcfec24a_1
    - r-r6 2.5.0 r41hc72bb7e_0
    - r-rcpp 1.0.6 r41h03ef668_0
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    - r-readr 1.4.0 r41h03ef668_0
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    - r-rlang 0.4.11 r41hcfec24a_0
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    - sysroot_linux-64 2.12 h77966d4_13
    - tk 8.6.10 h21135ba_1
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    - xz 5.2.5 h516909a_1
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  run:
    - bioconductor-biocgenerics >=0.38.0,<0.39.0
    - bioconductor-genomeinfodb >=1.28.0,<1.29.0
    - bioconductor-genomicranges >=1.44.0,<1.45.0
    - bioconductor-interactionset >=1.20.0,<1.21.0
    - bioconductor-iranges >=2.26.0,<2.27.0
    - bioconductor-rtracklayer >=1.52.0,<1.53.0
    - bioconductor-s4vectors >=0.30.0,<0.31.0
    - r-base >=4.1,<4.2.0a0
    - r-boot >=1.3-20
    - r-data.table >=1.10.4
    - r-purrr >=0.2.2
    - r-readr >=1.1.0
test:
  commands:
    - $R -e "library('sevenC')"
about:
  description: Chromatin looping is an essential feature of eukaryotic genomes and
    can bring regulatory sequences, such as enhancers or transcription factor binding
    sites, in the close physical proximity of regulated target genes. Here, we provide
    sevenC, an R package that uses protein binding signals from ChIP-seq and sequence
    motif information to predict chromatin looping events. Cross-linking of proteins
    that bind close to loop anchors result in ChIP-seq signals at both anchor loci.
    These signals are used at CTCF motif pairs together with their distance and orientation
    to each other to predict whether they interact or not. The resulting chromatin
    loops might be used to associate enhancers or transcription factor binding sites
    (e.g., ChIP-seq peaks) to regulated target genes.
  home: https://bioconductor.org/packages/3.13/bioc/html/sevenC.html
  license: GPL-3
  license_file: /opt/conda/conda-bld/bioconductor-sevenc_1622714857030/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/lib/R/share/licenses/GPL-3
  summary: Computational Chromosome Conformation Capture by Correlation of ChIP-seq
    at CTCF motifs
extra:
  copy_test_source_files: true
  final: true
