recipe sadie-antibody

The Complete Antibody Library

Homepage:

https://sadie.jordanrwillis.com

Developer docs:

https://github.com/jwillis0720/sadie

License:

MIT

Recipe:

/sadie-antibody/meta.yaml

SADIE (Sequencing Analysis and Data library for Immunoinformatics Exploration) provides command-line apps and a Python API for antibody/AIRR analyses.

package sadie-antibody

(downloads) docker_sadie-antibody

versions:

2.0.0-0

depends biopython:

>=1.84

depends click:

>=8.0,<8.2

depends filetype:

>=1.2.0

depends ipython:

>=8.18.0

depends openpyxl:

>=3.1.0

depends pandas:

>=2.3,<3

depends pip:

depends pyarrow:

>=20.0.0

depends pydantic:

>=2.0.0,<3.0.0

depends pyhmmer:

>=0.11.1

depends python:

>=3.9,<3.14

depends python-levenshtein:

>=0.27.0

depends pyyaml:

>=6.0

depends requests:

>=2.32.0

depends rich:

>=14.1.0

depends scikit-learn:

>=1.5.0

depends scipy:

>=1.11.0

depends semantic_version:

depends yarl:

>=1.9.0

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 sadie-antibody

and update with::

   mamba update sadie-antibody

To create a new environment, run:

mamba create --name myenvname sadie-antibody

with myenvname being 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/sadie-antibody:<tag>

(see `sadie-antibody/tags`_ for valid values for ``<tag>``)

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