Open lecorguille opened 11 months ago
Oh, and https://bio.tools/ is worth to consider to :)
I second this. Can help create recipe on bioconda if needed
@Rosemeis the recipe would look something like:
{% set version = "" %}
{% set sha256 = "" %}
package:
name: pcangsd
version: '{{ version }}'
source:
url: https://github.com/Rosemeis/pcangsd/archive/refs/tags/v{{ version }}.tar.gz
sha256: '{{ sha256 }}'
build:
number: 0
run_exports:
- {{ pin_subpackage('pcangsd', max_pin="x.x") }}
script: ${PYTHON} -m pip install . --no-deps -vvv
requirements:
build:
- {{ compiler('cxx') }}
host:
- python
- pip
run:
- python
- numpy
- scipy
- cython
test:
commands:
- "pcangsd -h"
about:
home: "https://github.com/Rosemeis/pcangsd/"
license: GPL-3.0-or-later
license_family: GPL3
license_file: LICENSE
summary: "Framework for analyzing low-depth next-generation sequencing (NGS) data in heterogeneous/structured populations using principal component analysis (PCA)."
doc_url: https://github.com/Rosemeis/pcangsd/
dev_url: https://github.com/Rosemeis/pcangsd/
extra:
recipe-maintainers:
- Rosemeis
Dear @Rosemeis,
Can you consider to package pcangsd in Bioconda?
Conda (through Bioconda) is the solution for the FAIRness of your tool. I could have done it myself but I lake some spare time curently. But I can help you if needed, let me know! BTW, you will see that it's really simple regarding the few dependencies of pcangsd.