recipe metawatt

MetaWatt is a metagenomic binning tool







doi: 10.3389/fmicb.2012.00410

The Metawatt binner is a graphical binning tool that makes use of multivariate statistics of tetranucleotide frequencies and differential coverage based binning. It also performs taxonomic assessment of binning quality (via diamond BLASTx). Created bins can be edited and exported as fasta. The Metawatt is implemented in Java SWING and minimally depends on Diamond, HMMer3.1, BBMap, Prodigal and the Batik library for the export of SVG graphics.

package metawatt

(downloads) docker_metawatt



depends aragorn:

depends bbmap:

depends blast:

depends diamond:


depends fasttree:

depends hmmer:

depends mafft:

depends openjdk:

depends prodigal:

depends samtools:

depends wget:



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 metawatt

and update with::

   mamba update metawatt

To create a new environment, run:

mamba create --name myenvname metawatt

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<tag>

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


metawatt --help

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