- recipe singlem
At heart, SingleM is a tool for profiling shotgun metagenomes. It was originally designed to determine the relative abundance of bacterial and archaeal taxa in a sample. As of version 0.19.0, it can also be used to profile dsDNA phages (see Lyrebird). It shows good accuracy in estimating the relative abundances of community members, and has a particular strength in dealing with novel lineages. 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. It can also be used as the basis for choosing metagenomes which, when coassembled, maximise the recovery of novel MAGs (see Bin Chicken).
- Homepage:
- Documentation:
- License:
GPL3 / GPL-3.0-or-later
- Recipe:
- package singlem¶
- versions:
0.19.0-0
,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
,0.19.0-0
,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.*
- depends bird_tool_utils_python:
=0.*,>=0.4.1
- depends cd-hit:
4.8.*
- depends diamond:
2.1.10.*
- depends expressbetadiversity:
1.0.*
- depends extern:
0.4.*
- depends fastalite:
0.4.*
- depends fasttree:
2.1.*
- depends galah:
0.4.*
- depends graftm:
0.15.*
- depends gtdbtk:
2.4.1.*
- depends hmmer:
3.2.*
- depends jinja2:
3.1.*
- depends krona:
2.8.*
- depends mafft:
7.*
- depends mfqe:
0.5.*
- depends ncbi-ngs-sdk:
3.0.*
- depends orfm:
1.*
- depends pandas:
2.*
- depends polars:
1.27.*
- depends pplacer:
1.1.alpha19.*
- depends prodigal:
2.*
- depends pyarrow:
16.*
- depends pyranges:
0.1.*
- depends python:
>=3.7
- depends seqmagick:
0.*
- depends smafa:
0.8.*
- depends sqlalchemy:
2.0.*
- depends sqlite:
3.*
- depends sqlparse:
0.*
- depends squarify:
0.4.*
- depends sra-tools:
2.9.*
- depends tqdm:
>=4.66.0,<5.0
- depends zenodo_backpack:
0.3.*
- 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 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 badge with the following MarkDown:
[](http://bioconda.github.io/recipes/singlem/README.html)