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meta.yaml
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meta.yaml
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{% set version = "1.1.0" %}
{% set name = "NanoCount" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
path: dist/{{ name }}-{{ version }}.tar.gz
build:
number: 0
script: "pip install {{ name }}-{{ version }}.tar.gz --no-deps --ignore-installed -vv "
entry_points:
- NanoCount=NanoCount.__main__:main
noarch: "python"
requirements:
build:
- python>=3.6
- pip>=19.2.1
- ripgrep>=11.0.1
run:
- tqdm>=4.51.0
- numpy>=1.19.4
- pysam>=0.16.0
- pandas>=1.1.4
- colorlog>=4.1.0
test:
imports:
- NanoCount.NanoCount
commands:
- NanoCount -h
about:
home: https://github.com/a-slide/NanoCount/
doc_url: https://a-slide.github.io/NanoCount/
license: MIT
licence_url: https://mit-license.org/
summary: NanoCount estimates transcripts abundance from Oxford Nanopore *direct-RNA sequencing* datasets, using an expectation-maximization approach like RSEM, Kallisto, salmon, etc to handle the uncertainty of multi-mapping reads
extra:
author: Adrien Leger
author_email: aleg@ebi.ac.uk
author_url: https://adrienleger.com