recipe ddrage

Simulator for ddRADseq (double digest restriction site associated DNA sequencing) datasets. Generates reads (FASTQ format) that can be analyzed and validated using a ground truth file (YAML).

Homepage:

https://bitbucket.org/genomeinformatics/rage

License:

MIT / MIT License

Recipe:

/ddrage/meta.yaml

package ddrage

versions:

1.8.1-0,  1.7.1-0,  1.6.3-1,  1.6.3-0,  1.6.1-0,  1.5.2-0,  1.5.1-0,  1.4.0-1,  1.4.0-0, 

1.8.1-0,  1.7.1-0,  1.6.3-1,  1.6.3-0,  1.6.1-0,  1.5.2-0,  1.5.1-0,  1.4.0-1,  1.4.0-0,  1.3.1-0,  1.3.0-0,  1.2.2-0,  1.1.4-0

depends dinopy:

depends matplotlib-base:

depends numba:

depends numpy:

depends python:

>=3

depends pyyaml:

depends scipy:

>=1.4.1

depends seaborn:

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 ddrage

and update with::

   mamba update ddrage

To create a new environment, run:

mamba create --name myenvname ddrage

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/ddrage:<tag>

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

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