Package Recipe 'metafun'

recipe metafun

Scalable and agile analysis pipeline for metagenomic and comparative genomic analysis

Homepage:: https://github.com/aababc1/metaFun
Documentation:: https://metafun-doc.readthedocs.io/
License:: MIT
Recipe:: /metafun/meta.yaml

metaFun is a comprehensive pipeline for metagenomic analysis including quality control, assembly, binning, taxonomy profiling, and functional analysis. Version 1.0.0 adds WMS_STRAIN module for strain-level microbial diversity analysis.

package metafun¶

Versions:

1.0.0-0, 0.3.0-0, 0.2.0-0, 0.1.1-0

Depends:

on apptainer 1.3.0.*
on dash 2.17.1.*
on dash-bootstrap-components
on dash-core-components
on dash-daq
on dash-html-components
on dash-table
on nextflow 24.04.2.*
on numpy >=1.26
on pandas >=2.0
on plotly >=5.0
on python >=3.10
on squashfuse
on sylph 0.6.1.*
on tqdm

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 metafun

to add into an existing workspace instead, run:

pixi add metafun

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 metafun

Alternatively, to install into a new environment, run:

conda create -n envname metafun

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/metafun:<tag>

(see metafun/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/metafun/README.html)