recipe dicey

In-silico PCR and variant primer design

Homepage:

https://github.com/gear-genomics/dicey

License:

GPL / GPL-3

Recipe:

/dicey/meta.yaml

Links:

biotools: Gear-Genomics

package dicey

(downloads) docker_dicey

versions:
0.2.8-0,  0.2.6-0,  0.2.3-2,  0.2.3-1,  0.2.3-0,  0.2.1-0,  0.1.8-3,  0.1.8-2,  0.1.8-1, 

0.2.8-0,  0.2.6-0,  0.2.3-2,  0.2.3-1,  0.2.3-0,  0.2.1-0,  0.1.8-3,  0.1.8-2,  0.1.8-1,  0.1.8-0,  0.1.7-2,  0.1.7-1,  0.1.7-0,  0.1.6-2,  0.1.6-1,  0.1.6-0

depends _openmp_mutex:

* *_llvm

depends _openmp_mutex:

>=4.5

depends boost-cpp:

>=1.78.0,<1.78.1.0a0

depends bzip2:

>=1.0.8,<2.0a0

depends htslib:

>=1.19,<1.21.0a0

depends libdeflate:

>=1.18,<1.19.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends llvm-openmp:

>=17.0.6

depends zlib:

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 dicey

and update with::

   mamba update dicey

To create a new environment, run:

mamba create --name myenvname dicey

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/dicey:<tag>

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

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Link to this page

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

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