# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# /opt/recipe, last modified Sat Apr  3 14:43:50 2021
# ------------------------------------------------

package:
  name: bioconductor-mutationalpatterns
  version: 3.0.1
source:
  md5: 027f34ce1fe55fd6b84dc1c301cb8b1d
  url:
    - https://bioarchive.galaxyproject.org/MutationalPatterns_3.0.1.tar.gz
    - https://bioconductor.org/packages/3.12/bioc/src/contrib/MutationalPatterns_3.0.1.tar.gz
    - https://depot.galaxyproject.org/software/bioconductor-mutationalpatterns/bioconductor-mutationalpatterns_3.0.1_src_all.tar.gz
build:
  noarch: generic
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r40hdfd78af_0
requirements:
  host:
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  run:
    - bioconductor-biocgenerics >=0.36.0,<0.37.0
    - bioconductor-biostrings >=2.58.0,<2.59.0
    - bioconductor-bsgenome >=1.58.0,<1.59.0
    - bioconductor-genomeinfodb >=1.26.0,<1.27.0
    - bioconductor-genomicranges >=1.42.0,<1.43.0
    - bioconductor-iranges >=2.24.0,<2.25.0
    - bioconductor-s4vectors >=0.28.0,<0.29.0
    - bioconductor-variantannotation >=1.36.0,<1.37.0
    - r-base >=4.0,<4.1.0a0
    - r-cowplot >=0.9.2
    - r-dplyr >=0.8.3
    - r-ggalluvial >=0.12.2
    - r-ggdendro >=0.1-20
    - r-ggplot2 >=2.1.0
    - r-magrittr >=1.5
    - r-nmf >=0.20.6
    - r-pracma >=1.8.8
    - r-purrr >=0.3.2
    - r-stringr >=1.4.0
    - r-tibble >=2.1.3
    - r-tidyr >=1.0.0
test:
  commands:
    - $R -e "library('MutationalPatterns')"
about:
  description: 'Mutational processes leave characteristic footprints in genomic DNA.
    This package provides a comprehensive set of flexible functions that allows researchers
    to easily evaluate and visualize a multitude of mutational patterns in base substitution
    catalogues of e.g. healthy samples, tumour samples, or DNA-repair deficient cells.
    The package covers a wide range of patterns including: mutational signatures,
    transcriptional and replicative strand bias, lesion segregation, genomic distribution
    and association with genomic features, which are collectively meaningful for studying
    the activity of mutational processes. The package works with single nucleotide
    variants (SNVs), insertions and deletions (Indels), double base substitutions
    (DBSs) and larger multi base substitutions (MBSs). The package provides functionalities
    for both extracting mutational signatures de novo and determining the contribution
    of previously identified mutational signatures on a single sample level. MutationalPatterns
    integrates with common R genomic analysis workflows and allows easy association
    with (publicly available) annotation data.'
  home: https://bioconductor.org/packages/3.12/bioc/html/MutationalPatterns.html
  license: MIT + file LICENSE
  license_file: LICENSE
  summary: Comprehensive genome-wide analysis of mutational processes
extra:
  copy_test_source_files: true
  final: true
