recipe kernel_density_plots

Python tool for generating SNP density and closest neighbor plots from aligned SNP FASTA files.

Homepage:

https://github.com/kapurlab/kernel_density_plots

License:

GPL3

Recipe:

/kernel_density_plots/meta.yaml

Python implementation of the Kernel Density Plot Tool that generates SNP density and closest neighbor plots from aligned SNP FASTA files.

package kernel_density_plots

versions:

0.1-0

depends biopython:

>=1.81

depends matplotlib-base:

>=3.7

depends numpy:

>=1.24

depends pandas:

>=2.0

depends python:

>=3.9

depends scipy:

>=1.10

depends seaborn:

>=0.12

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 kernel_density_plots

and update with::

   mamba update kernel_density_plots

To create a new environment, run:

mamba create --name myenvname kernel_density_plots

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/kernel_density_plots:<tag>

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

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