- recipe viral-host-hunter
Decrypting viral dark matter with predictive framework and therapeutic implications.
- Homepage:
- License:
GPL-3.0-or-later
- Recipe:
Viral-Host-Hunter (VHH) is a deep learning framework for predicting virus-host interactions across taxonomic levels, leveraging protein language models such as ProtT5-XL-UniRef50 for biological sequence embedding and host inference.
- package viral-host-hunter¶
- versions:
0.1.11-0- depends biopython:
>=1.81- depends numpy:
>=1.24- depends openpyxl:
>=3.1- depends pandas:
>=2.0- depends python:
>=3.8- depends pytorch:
>=2.0- depends scikit-learn:
>=1.3.0,<1.4.0- depends sentencepiece:
>=0.1.99- depends tqdm:
>=4.60- depends transformers:
>=4.37- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install viral-host-hunter and update with:: mamba update viral-host-hunter
To create a new environment, run:
mamba create --name myenvname viral-host-hunter
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/viral-host-hunter:<tag> (see `viral-host-hunter/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/viral-host-hunter/README.html)
