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meta.yaml
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meta.yaml
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{% set name = "clair3" %}
{% set version = "1.0.0" %}
package:
name: {{ name }}
version: {{ version }}
source:
url: http://www.bio8.cs.hku.hk/clair3/bioconda/Clair3_v{{ version }}.zip
sha256: f9aaf8fe7140b4cd1fcebb72b601595b8f4390c1524cf93e0ab8f13818283deb
build:
number: 1
skip: True # [osx]
requirements:
build:
- {{ compiler('c') }}
- {{ compiler('cxx') }}
host:
- cffi
- bzip2
- xz
- zlib
- python =3.9.0
- automake
- make
- curl
run:
- python =3.9.0
- pypy3.6
- numpy
- tensorflow =2.8.0
- pytables
- samtools =1.15.1
- whatshap =1.4
- pigz
- parallel =20191122
- zstd
- openssl =1.1.1
- cffi =1.14.4
test:
imports:
- tensorflow
commands:
- longphase --version
- which clair3.py
- run_clair3.sh -v
about:
home: 'https://github.com/HKU-BAL/Clair3'
license: BSD-3-Clause
license_file: LICENSE.md
summary: "Clair3 is a small variant caller for long-reads. Compare to PEPPER (r0.4), Clair3 (v0.1) shows a better SNP F1-score with ≤30-fold of ONT data (precisionFDA Truth Challenge V2), and a better Indel F1-score, while runs generally four times faster. Clair3 makes the best of both worlds of using pileup or full-alignment as input for deep-learning based long-read small variant calling. Clair3 is simple and modular for easy deployment and integration."