- recipe plasann
A tool for plasmid annotation and visualization.
- Homepage:
- License:
MIT / MIT
- Recipe:
A comprehensive tool for annotating plasmid sequences, identifying coding sequences, detecting origins of replication and transfer, and generating plasmid maps.
For Mac (Apple Silicon) users, please install these additional dependencies: - brew install blast - brew install brewsci/bio/prodigal
Please ensure both tools are available in your PATH before running PlasAnn.
- package plasann¶
-
- Versions:
1.1.6-0,1.1.3-0,1.0.8-1,1.0.8-0,1.0.3-0,1.0.1-0- Depends:
on biopython
>=1.79on blast
on gdown
>=4.0.0on infernal
on matplotlib-base
>=3.5.0on numpy
>=1.21.0on pandas
>=1.3.0on prodigal
on pycirclize
>=0.3.0on python
>=3.8on requests
>=2.25.0
- 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 plasann
to add into an existing workspace instead, run:
pixi add plasann
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 plasann
Alternatively, to install into a new environment, run:
conda create -n envname plasann
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/plasann:<tag>
(see plasann/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.
Notes¶
This package requires external dependencies (BLAST and Prodigal) for Apple Silicon Macs which must be installed separately due to platform compatibility issues.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/plasann/README.html)