Merge branch 'master' into bump/pydeseq2

recipes/svision-pro/meta.yaml

@@ -0,0 +1,53 @@
+{% set name = "SVision-pro" %}
+{% set version = "2.0" %}
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://github.com/songbowang125/{{ name }}/archive/v{{ version }}.tar.gz
+  sha256: 3892760ee421e1613f64cd7e61bd6876645e739fbf3198439e128fc9e50d1dd1
+
+build:
+  number: 0
+  noarch: python
+  script: {{ PYTHON }} -m pip install . -vvv --no-deps --no-build-isolation --no-cache-dir
+  run_exports:
+    - {{ pin_subpackage('svision-pro', max_pin="x") }}
+
+requirements:
+  host:
+    - python >=3.7.9
+    - pip
+    - setuptools
+  run:
+    - python >=3.7.9
+    - pytorch ==1.10.1
+    - numpy ==1.21.6
+    - pysam >=0.20.0
+    - scipy  ==1.7.3
+    - pillow ==9.2.0
+    - py-opencv >=4.5.3
+
+test:
+  commands:
+    - SVision-pro --help
+
+about:
+  home: "https://github.com/songbowang125/SVision-pro"
+  license: "GPL-3.0-or-later"
+  license_family: GPL3
+  license_file: LICENSE
+  dev_url: "https://github.com/songbowang125/SVision-pro"
+  doc_url: "https://github.com/songbowang125/SVision-pro/blob/v{{ version }}/README.md"
+  summary: 'Neural-network-based long-read SV caller.'
+  description: |
+    A neural-network-based instance segmentation framework that represents genome-to-genome-level sequencing differences visually and discovers SV comparatively between genomes without any prerequisite for inference models.
+
+extra:
+  recipe-maintainers:
+    - tdido
+  # needed for libGL.so
+  container:
+    extended-base: True