Package Recipe 'kleboscope'

recipe kleboscope

Kleboscope: Comprehensive K. pneumoniae genomic typing pipeline with parallel execution

Homepage:: https://github.com/bbeckley-hub/Kleboscope
License:: MIT
Recipe:: /kleboscope/meta.yaml

Kleboscope is a complete, automated genomic analysis pipeline for Klebsiella pneumoniae, featuring parallel execution for rapid processing of bacterial genomes.

package kleboscope¶

Versions:

1.0.1-0

Depends:

on abricate >=1.2.0
on any2fasta
on beautifulsoup4 >=4.11.0
on biopython >=1.85
on blast >=2.13.0
on click >=8.0.0
on kaptive >=3.1.0
on lxml >=4.9.0
on matplotlib-base >=3.5.0
on pandas >=1.5.0
on perl
on perl-data-dumper
on perl-file-which
on perl-getopt-long
on perl-json
on perl-list-moreutils
on perl-lwp-protocol-https
on perl-moo
on perl-path-tiny
on plotly >=5.10.0
on psutil >=5.9.0
on python >=3.9
on requests >=2.28.0
on scipy >=1.10.1
on seaborn >=0.12.0
on tqdm >=4.64.0

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 kleboscope

to add into an existing workspace instead, run:

pixi add kleboscope

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 kleboscope

Alternatively, to install into a new environment, run:

conda create -n envname kleboscope

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/kleboscope:<tag>

(see kleboscope/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/kleboscope/README.html)