recipe architeuthis

Tool to analyze and summarize data for Kraken.

Homepage:

https://github.com/cdiener/architeuthis

Developer docs:

https://github.com/cdiener/architeuthis.git

License:

Apache-2.0

Recipe:

/architeuthis/meta.yaml

architeuthis is a fast standalone command to supplement the Kraken suite of software tools such like Kraken2, KrakenUniq, and Bracken. I saw myself repeatedly rewriting the same code in my pipelines when dealing with Kraken output, like merging files or maninpulating lineage annotations. It also adds some functionality to dive deeper into the individual k-mer classifications for reads.

package architeuthis

(downloads) docker_architeuthis

Versions:

0.5.0-00.4.0-00.3.1-00.3.0-10.3.0-00.2.1-0

Depends:
  • on taxonkit >=0.16.0

Additional platforms:
linux-aarch64osx-arm64

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 architeuthis

to add into an existing workspace instead, run:

pixi add architeuthis

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 architeuthis

Alternatively, to install into a new environment, run:

conda create -n envname architeuthis

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/architeuthis:<tag>

(see architeuthis/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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