picasso/meta.yaml at main · dpeerlab/picasso · GitHub

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{% set name = "picasso-phylo" %}
{% set version = "0.1.2" %}

package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 7a20005f4ad7a0ebdc1ee1b2f74ebf0412db0fb098d5150ad22140ee08267e82
build:
  noarch: python
  number: 0
  script: {{ PYTHON }} -m pip install . -vv

requirements:
  host:
    - python >=3.10
    - pip
    - setuptools >=61.0
    - wheel
  run:
    - python >=3.10
    - numpy >=1.24.0
    - pandas >=2.0.0
    - pomegranate >=1.0.4
    - ete3 >=3.1.3
    - matplotlib-base >=3.6.0
    - seaborn >=0.12.0
    - tqdm >=4.64.0
    - scipy >=1.10.0

test:
  imports:
    - picasso
    - picasso.build_tree
    - picasso.CloneTree
    - picasso.utils
    - picasso.itol_utils
  commands:
    - python -c "import picasso; print(picasso.__version__)"
  requires:
    - pytest

about:
  home: https://github.com/sitarapersad/picasso_phylo
  license: MIT
  license_family: MIT
  license_file: LICENSE
  summary: Phylogenetic Inference of Copy number Alterations in Single-cell Sequencing data Optimization
  description: |
    PICASSO is a computational method for reconstructing tumor phylogenies from noisy,
    inferred copy number alteration (CNA) data derived from single-cell RNA sequencing
    (scRNA-seq). Unlike methods designed for direct scDNA-seq data, PICASSO specifically
    handles the uncertainty and noise inherent in CNA profiles inferred from gene
    expression data.
  doc_url: https://picasso-phylo.readthedocs.io/
  dev_url: https://github.com/sitarapersad/picasso_phylo

extra:
  recipe-maintainers:
    - sitarapersad