recipe bioconductor-metabinr

Abundance and Compositional Based Binning of Metagenomes

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/metabinR.html

License:

GPL-3

Recipe:

/bioconductor-metabinr/meta.yaml

Provide functions for performing abundance and compositional based binning on metagenomic samples, directly from FASTA or FASTQ files. Functions are implemented in Java and called via rJava. Parallel implementation that operates directly on input FASTA/FASTQ files for fast execution.

package bioconductor-metabinr

(downloads) docker_bioconductor-metabinr

versions:

1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-0

depends openjdk:

depends r-base:

>=4.4,<4.5.0a0

depends r-rjava:

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 bioconductor-metabinr

and update with::

   mamba update bioconductor-metabinr

To create a new environment, run:

mamba create --name myenvname bioconductor-metabinr

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/bioconductor-metabinr:<tag>

(see `bioconductor-metabinr/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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/bioconductor-metabinr/README.html)