- recipe merqury
Evaluate genome assemblies with k-mers and more.
- Homepage:
- License:
PUBLIC DOMAIN
- Recipe:
Often, genome assembly projects have illumina whole genome sequencing reads available for the assembled individual. The k-mer spectrum of this read set can be used for independently evaluating assembly quality without the need of a high quality reference. Merqury provides a set of tools for this purpose.
- package merqury¶
-
- Versions:
1.3-4,1.3-3,1.3-2,1.3-1,1.3-0,1.1-3,1.1-2,1.1-1,1.1-0,1.3-4,1.3-3,1.3-2,1.3-1,1.3-0,1.1-3,1.1-2,1.1-1,1.1-0,v1.0-0- Depends:
on bedtools
>=2.29.2on gawk
on meryl
1.4.1.*on mscorefonts
on openjdk
>=11.0.1on r-argparse
>=2.0.1on r-base
>=4on r-ggplot2
>=3.3.2,<=3.3.6on r-scales
>=1.1.1on samtools
>=1.10on sed
- 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 merqury
to add into an existing workspace instead, run:
pixi add merqury
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 merqury
Alternatively, to install into a new environment, run:
conda create -n envname merqury
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/merqury:<tag>
(see merqury/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:
[](http://bioconda.github.io/recipes/merqury/README.html)