recipe tagdust2

Tool to extract high confidence reads from sequencing data

Homepage:

https://github.com/aradar46/tagdust

License:

GPL-3.0-only

Recipe:

/tagdust2/meta.yaml

TagDust2 filters NGS reads using HMMs, removes artifacts, and can simulate reads.

package tagdust2

(downloads) docker_tagdust2

versions:

2.33.1-0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends pthread-stubs:

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 tagdust2

and update with::

   mamba update tagdust2

To create a new environment, run:

mamba create --name myenvname tagdust2

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/tagdust2:<tag>

(see `tagdust2/tags`_ for valid values for ``<tag>``)

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