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meta.yaml
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package:
name: argprism
version: "1.0.0"
source:
path: .
build:
number: 0
script: python -m pip install . -vv
skip: true # [not linux]
requirements:
host:
- python >=3.13,<3.14
- pip
- setuptools
- wheel
run:
- python >=3.13,<3.14
- numpy ==2.2.3
- pandas ==2.2.3
- scipy ==1.15.2
- scikit-learn ==1.6.1
- biopython ==1.85
- h5py ==3.13.0
- pytorch ==2.6.0
- transformers ==4.49.0
- sentencepiece ==0.2.0
- matplotlib ==3.10.1
- seaborn ==0.13.2
- tqdm ==4.67.1
- requests ==2.32.3
- pillow ==11.2.1
- regex ==2024.11.6
- boto3 ==1.37.7
- diamond >=2.1.15
test:
imports:
- argprism
commands:
- argprism --version
about:
home: https://github.com/haseebmanzur/ARGPrism
license: MIT
license_file: LICENSE
summary: "ARGprism: Deep Learning-based Antibiotic Resistance Gene Prediction Pipeline"
description: |
ARGprism is a comprehensive pipeline for predicting antibiotic resistance genes (ARGs)
from protein sequences using deep learning. It employs ProtAlbert embeddings and a
trained neural network classifier, followed by DIAMOND BLAST mapping against a reference
ARG database for functional annotation.
dev_url: https://github.com/muneebdev7/ARGPrism_dev
doc_url: https://github.com/haseebmanzur/ARGPrism/blob/main/README.md
extra:
recipe-maintainers:
- muneebdev7