recipe nanoplot

Plotting suite for long read sequencing data and alignments

Homepage:

https://github.com/wdecoster/NanoPlot

License:

MIT / MIT

Recipe:

/nanoplot/meta.yaml

package nanoplot

versions:

1.43.0-1,  1.43.0-0,  1.42.0-0,  1.41.6-0,  1.41.3-0,  1.41.0-0,  1.40.2-0,  1.40.0-0,  1.39.0-0, 

1.43.0-1,  1.43.0-0,  1.42.0-0,  1.41.6-0,  1.41.3-0,  1.41.0-0,  1.40.2-0,  1.40.0-0,  1.39.0-0,  1.38.1-0,  1.38.0-0,  1.37.0-0,  1.36.2-1,  1.36.2-0,  1.36.1-0,  1.35.5-0,  1.35.4-0,  1.32.1-0,  1.32.0-0,  1.31.0-0,  1.30.1-0,  1.30.0-0,  1.29.1-0,  1.29.0-0,  1.28.4-0,  1.28.2-0,  1.28.1-1,  1.28.1-0,  1.28.0-0,  1.27.0-0,  1.26.3-0,  1.26.2-0,  1.26.1-0,  1.25.1-0,  1.25.0-0,  1.24.0-0,  1.23.1-0,  1.20.0-1,  1.20.0-0,  1.19.0-0,  1.18.2-1,  1.13.0-1,  1.13.0-0,  1.11.0-0,  1.10.4-0,  1.8.1-0,  1.2.2-0,  1.1.0-0,  1.0.0-0,  0.16.4-0,  0.16.2-0

depends biopython:

depends libpng:

depends nanoget:

>=1.19.1

depends numpy:

>=1.16.5

depends pandas:

>=1.1.0

depends plotly:

>=5.4.0

depends pyarrow:

depends pysam:

>0.10.0.0

depends python:

>=3

depends python-dateutil:

depends python-kaleido:

depends scipy:

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 nanoplot

and update with::

   mamba update nanoplot

To create a new environment, run:

mamba create --name myenvname nanoplot

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/nanoplot:<tag>

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

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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/nanoplot/README.html)