recipe singlem

SingleM is a tool for profiling shotgun metagenomes. It has a particular strength in detecting microbial lineages which are not in reference databases. The method it uses also makes it suitable for some related tasks, such as assessing eukaryotic contamination, finding bias in genome recovery, and lineage-targeted MAG recovery.

Homepage:

https://github.com/wwood/singlem

Documentation:

https://wwood.github.io/singlem/

License:

GPL3 / GPL-3.0-or-later

Recipe:

/singlem/meta.yaml

package singlem

(downloads) docker_singlem

versions:
0.18.3-0,  0.18.2-0,  0.18.1-1,  0.18.1-0,  0.18.0-0,  0.17.0-0,  0.16.0-0,  0.15.1-0,  0.15.0-0, 

0.18.3-0,  0.18.2-0,  0.18.1-1,  0.18.1-0,  0.18.0-0,  0.17.0-0,  0.16.0-0,  0.15.1-0,  0.15.0-0,  0.14.0-0,  0.13.2-2,  0.13.2-1,  0.13.2-0

depends biopython:

1.84.*

depends bird_tool_utils_python:

>=0.4.1,<0.5.0

depends cd-hit:

4.8.*

depends diamond:

>=2.1.7

depends expressbetadiversity:

1.0.*

depends extern:

0.4.*

depends fastalite:

0.4.*

depends fasttree:

2.1.*

depends graftm:

0.15.*

depends hmmer:

3.2.1.*

depends jinja2:

3.1.*

depends krona:

2.8.*

depends mafft:

depends mfqe:

0.5.*

depends ncbi-ngs-sdk:

3.0.*

depends orfm:

1.3.*

depends pandas:

2.2.*

depends polars:

>=0.19.3

depends pplacer:

1.1.alpha19.*

depends prodigal:

2.6.*

depends pyarrow:

16.1.*

depends pyranges:

0.1.*

depends python:

>=3.7

depends seqmagick:

0.8.*

depends smafa:

0.8.*

depends sqlalchemy:

2.0.*

depends sqlite:

3.46.*

depends squarify:

0.4.*

depends sra-tools:

3.1.*

depends tqdm:

4.66.*

depends zenodo_backpack:

>=0.3.1,<0.4.0

requirements:

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 singlem

and update with::

   mamba update singlem

To create a new environment, run:

mamba create --name myenvname singlem

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/singlem:<tag>

(see `singlem/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/singlem/README.html)