- recipe amptk
AMPtk: Amplicon tool kit for processing high throughput amplicon sequencing data.
- Homepage:
- Documentation:
- License:
BSD / BSD-2-Clause
- Recipe:
- Links:
doi: 10.7717/peerj.4925
- package amptk¶
- Versions:
1.6.0-0,1.5.5-0,1.5.4-0,1.5.3-0,1.5.2-0,1.5.1-1,1.5.1-0,1.5.0-0,1.4.2-1,1.6.0-0,1.5.5-0,1.5.4-0,1.5.3-0,1.5.2-0,1.5.1-1,1.5.1-0,1.5.0-0,1.4.2-1,1.4.2-0,1.4.1-0,1.4.0-0,1.3.0-0,1.2.4-1,1.2.4-0,1.2.2-0,1.2.0-0,1.1.3-0- Depends:
on bioconductor-dada2
>=1.12.1on bioconductor-phyloseq
on biom-format
on biopython
on distro
on fasttree
on mafft
on matplotlib-base
on minimap2
on natsort
on numpy
on pandas
on pigz
on psutil
on pyfastx
>=0.8.0on python
>=3on python-edlib
>=1.2.1on r-base
on r-dt
on r-htmltools
on r-plotly
on requests
on seaborn
on vsearch
>=2.15.0
- 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 amptk
to add into an existing workspace instead, run:
pixi add amptk
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 amptk
Alternatively, to install into a new environment, run:
conda create -n envname amptk
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/amptk:<tag>
(see amptk/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/amptk/README.html)
