{% set version = "1.66.0" %}
{% set name = "tilingArray" %}
{% set bioc = "3.11" %}

package:
  name: 'bioconductor-{{ name|lower }}'
  version: '{{ version }}'
source:
  url:
    - 'https://bioconductor.org/packages/{{ bioc }}/bioc/src/contrib/{{ name }}_{{ version }}.tar.gz'
    - 'https://bioarchive.galaxyproject.org/{{ name }}_{{ version }}.tar.gz'
    - 'https://depot.galaxyproject.org/software/bioconductor-{{ name|lower }}/bioconductor-{{ name|lower }}_{{ version }}_src_all.tar.gz'
  md5: b9b30974289a5a59b6a9cce392bd7efe
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
requirements:
  host:
    - 'bioconductor-affy >=1.66.0,<1.67.0'
    - 'bioconductor-biobase >=2.48.0,<2.49.0'
    - 'bioconductor-genefilter >=1.70.0,<1.71.0'
    - 'bioconductor-vsn >=3.56.0,<3.57.0'
    - r-base
    - r-pixmap
    - r-rcolorbrewer
    - r-strucchange
    - libblas
    - liblapack
  run:
    - 'bioconductor-affy >=1.66.0,<1.67.0'
    - 'bioconductor-biobase >=2.48.0,<2.49.0'
    - 'bioconductor-genefilter >=1.70.0,<1.71.0'
    - 'bioconductor-vsn >=3.56.0,<3.57.0'
    - r-base
    - r-pixmap
    - r-rcolorbrewer
    - r-strucchange
  build:
    - {{ compiler('c') }}
    - make
test:
  commands:
    - '$R -e "library(''{{ name }}'')"'
about:
  home: 'https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html'
  license: Artistic-2.0
  summary: 'Transcript mapping with high-density oligonucleotide tiling arrays'
  description: 'The package provides functionality that can be useful for the analysis of high-density tiling microarray data (such as from Affymetrix genechips) for measuring transcript abundance and architecture. The main functionalities of the package are: 1. the class ''segmentation'' for representing partitionings of a linear series of data; 2. the function ''segment'' for fitting piecewise constant models using a dynamic programming algorithm that is both fast and exact; 3. the function ''confint'' for calculating confidence intervals using the strucchange package; 4. the function ''plotAlongChrom'' for generating pretty plots; 5. the function ''normalizeByReference'' for probe-sequence dependent response adjustment from a (set of) reference hybridizations.'

