- recipe ig-flowtools
set of tools for flow cytometry analysis
- Homepage:
- License:
BSD / BSD License
- Recipe:
- package ig-flowtools¶
- Versions:
2.0.2-5,2.0.2-4,2.0.2-3,2.0.2-2,2.0.2-1,2.0.2-0,2.0.1-0,2.0.0-0,1.4.1-1,2.0.2-5,2.0.2-4,2.0.2-3,2.0.2-2,2.0.2-1,2.0.2-0,2.0.1-0,2.0.0-0,1.4.1-1,1.4.1-0,1.4.0-0,1.3.0-0,1.0.0-0- Depends:
on bioconductor-flowai
on bioconductor-flowcl
on bioconductor-flowcore
on bioconductor-flowdensity
on bioconductor-flowsom
on bioconductor-flowviz
on bioconductor-ggcyto
on clustergrammer
on flock
on jinja2
on matplotlib-base
on numpy
on pandas
on python
on r-base
on scipy
- 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 ig-flowtools
to add into an existing workspace instead, run:
pixi add ig-flowtools
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 ig-flowtools
Alternatively, to install into a new environment, run:
conda create -n envname ig-flowtools
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/ig-flowtools:<tag>
(see ig-flowtools/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/ig-flowtools/README.html)
