Package Recipe 'panpasco'

recipe panpasco

Pipeline for pangenome mapping and pairwise SNP distance

Homepage:: https://gitlab.com/rki_bioinformatics/panpasco
License:: MIT
Recipe:: /panpasco/meta.yaml

PANPASCO uses linear computational pan-genomes and pairwise SNP distance calculation to improve distance matrix analyses

package panpasco¶

Versions:

1.0.1-0, 1.0.0-0

Depends:

on bedtools 2.27.*
on bioconductor-genomicranges
on bwa 0.7.17.*
on flash 1.2.11.*
on gatk 3.8.*
on picard 2.18.*
on python >3
on r-argparse
on r-base >=4.0,<4.1.0a0
on samtools
on seqtk
on snakemake
on tabix
on trimmomatic 0.36.*

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install panpasco

to add into an existing workspace instead, run:

pixi add panpasco

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install panpasco

Alternatively, to install into a new environment, run:

conda create -n envname panpasco

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/panpasco:<tag>

(see panpasco/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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/panpasco/README.html)