{% set version = "1.0.0" %}
{% set name = "scDotPlot" %}
{% set bioc = "3.20" %}

about:
  description: Dot plots of single-cell RNA-seq data allow for an examination of the relationships between cell groupings (e.g. clusters) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and/or rows of a scRNA-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames.
  home: https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html
  license: Artistic-2.0
  summary: Cluster a Single-cell RNA-seq Dot Plot

build:
  noarch: generic
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
  run_exports: '{{ pin_subpackage("bioconductor-scdotplot", max_pin="x.x") }}'

package:
  name: bioconductor-{{ name|lower }}
  version: '{{ version }}'

# Suggests: AnnotationDbi, BiocStyle, knitr, rmarkdown, scran, scRNAseq, scuttle, SeuratObject, testthat, vdiffr
requirements:
  host:
    - bioconductor-biocgenerics >=0.52.0,<0.53.0
    - bioconductor-ggtree >=3.14.0,<3.15.0
    - bioconductor-scater >=1.34.0,<1.35.0
    - bioconductor-singlecellexperiment >=1.28.0,<1.29.0
    - r-aplot
    - r-base
    - r-cli
    - r-dplyr
    - r-ggplot2
    - r-ggsci
    - r-magrittr
    - r-purrr
    - r-rlang
    - r-scales
    - r-seurat
    - r-stringr
    - r-tibble
    - r-tidyr
  run:
    - bioconductor-biocgenerics >=0.52.0,<0.53.0
    - bioconductor-ggtree >=3.14.0,<3.15.0
    - bioconductor-scater >=1.34.0,<1.35.0
    - bioconductor-singlecellexperiment >=1.28.0,<1.29.0
    - r-aplot
    - r-base
    - r-cli
    - r-dplyr
    - r-ggplot2
    - r-ggsci
    - r-magrittr
    - r-purrr
    - r-rlang
    - r-scales
    - r-seurat
    - r-stringr
    - r-tibble
    - r-tidyr

source:
  md5: 3016f3b050f8246442354c35f6424f87
  url:
    - https://bioconductor.org/packages/{{ bioc }}/bioc/src/contrib/{{ name }}_{{ version }}.tar.gz
    - https://bioconductor.org/packages/{{ bioc }}/bioc/src/contrib/Archive/{{ name }}/{{ 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

test:
  commands:
    - $R -e "library('{{ name }}')"

