recipe cvlr

Clustering and Visualization of Long Reads

Homepage:

https://github.com/EmanueleRaineri/releases/

License:

MIT / MIT

Recipe:

/cvlr/meta.yaml

package cvlr

versions:

1.0-4,  1.0-3,  1.0-2,  1.0-1,  1.0-0

depends bzip2:

>=1.0.8,<2.0a0

depends htslib:

>=1.20,<1.22.0a0

depends libdeflate:

>=1.20,<1.21.0a0

depends libgcc-ng:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends matplotlib-base:

depends numpy:

depends openssl:

>=3.3.1,<4.0a0

depends python:

>=3

depends xz:

>=5.2.6,<6.0a0

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 cvlr

and update with::

   mamba update cvlr

To create a new environment, run:

mamba create --name myenvname cvlr

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/cvlr:<tag>

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

Download stats

Link to this page

Render an 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/cvlr/README.html)