recipe tksm

Very modular, very cool long-read transcriptomic simulator

Homepage:

https://github.com/vpc-ccg/tksm

License:

MIT / MIT

Recipe:

/tksm/meta.yaml

package tksm

versions:

0.6.0-0,  0.5.0-0,  0.3.2-0,  0.3.1-0,  0.3.0-0

depends fmt:

>=10.2.1,<11.0a0

depends joblib:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends numpy:

depends python:

>=3.10,<3.11.0a0

depends python-edlib:

depends python_abi:

3.10.* *_cp310

depends scikit-learn:

depends tqdm:

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 tksm

and update with::

   mamba update tksm

To create a new environment, run:

mamba create --name myenvname tksm

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/tksm:<tag>

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

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