recipe cdbtools

CDB (Constant DataBase) indexing and retrieval tools for FASTA files

Homepage:

http://compbio.dfci.harvard.edu/tgi

License:

Public Domain

Recipe:

/cdbtools/meta.yaml

package cdbtools

(downloads) docker_cdbtools

versions:
0.99-10,  0.99-9,  0.99-8,  0.99-7,  0.99-6,  0.99-5,  0.99-4,  0.99-3,  0.99-2, 

0.99-10,  0.99-9,  0.99-8,  0.99-7,  0.99-6,  0.99-5,  0.99-4,  0.99-3,  0.99-2,  0.99-1,  0.99-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends zlib:

requirements:

additional platforms:
linux-aarch64

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 cdbtools

and update with::

   mamba update cdbtools

To create a new environment, run:

mamba create --name myenvname cdbtools

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/cdbtools:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/cdbtools/README.html)