recipe kmergenie

KmerGenie estimates the best k-mer length for genome de novo assembly.

Homepage:

http://kmergenie.bx.psu.edu

Documentation:

http://kmergenie.bx.psu.edu/README

License:

Free Software License

Recipe:

/kmergenie/meta.yaml

Links:

biotools: kmergenie, doi: 10.1093/bioinformatics/btt310

package kmergenie

(downloads) docker_kmergenie

Versions:
1.7051-11,  1.7051-10,  1.7051-9,  1.7051-8,  1.7051-7,  1.7051-5,  1.7051-4,  1.7051-3,  1.7051-2, 

1.7051-11,  1.7051-10,  1.7051-9,  1.7051-8,  1.7051-7,  1.7051-5,  1.7051-4,  1.7051-3,  1.7051-2,  1.7051-1,  1.7051-0,  1.7016-5,  1.7016-4,  1.7016-3,  1.7016-2,  1.7016-1,  1.7016-0

Depends:

  • on libgcc >=13

  • on libstdcxx >=13

  • on libzlib >=1.2.13,<2.0a0

  • on ntcard

  • on python >=2.7,<2.8.0a0

  • on python_abi 2.7.* *_cp27mu

  • on r-base >=4.0,<4.1.0a0

Additional platforms:
linux-aarch64

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 kmergenie

to add into an existing workspace instead, run:

pixi add kmergenie

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 kmergenie

Alternatively, to install into a new environment, run:

conda create -n envname kmergenie

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/kmergenie:<tag>

(see kmergenie/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.

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Render an install-with-bioconda badge with the following MarkDown:

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