recipe pyfastx

pyfastx is a python module for fast random access to sequences from plain and gzipped FASTA/Q file

Homepage:

https://github.com/lmdu/pyfastx

License:

MIT / MIT

Recipe:

/pyfastx/meta.yaml

package pyfastx

(downloads) docker_pyfastx

versions:
2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  2.0.2-0,  2.0.1-0,  2.0.0-0,  1.1.0-3,  1.1.0-1, 

2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  2.0.2-0,  2.0.1-0,  2.0.0-0,  1.1.0-3,  1.1.0-1,  1.1.0-0,  1.0.1-0,  0.9.1-0,  0.8.4-1,  0.8.4-0,  0.8.3-0,  0.8.2-1,  0.8.2-0,  0.8.1-0,  0.7.0-0,  0.6.16-0,  0.6.15-0,  0.6.14-0,  0.6.13-0,  0.6.12-0,  0.6.11-0,  0.6.10-0,  0.6.9-0,  0.6.8-0,  0.6.7-0,  0.6.6-0,  0.6.5-0,  0.6.4-0

depends libgcc-ng:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

requirements:

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 pyfastx

and update with::

   mamba update pyfastx

To create a new environment, run:

mamba create --name myenvname pyfastx

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/pyfastx:<tag>

(see `pyfastx/tags`_ for valid values for ``<tag>``)

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