- recipe polystest
Interactive tool for statistical testing, data browsing and interactive visualization of quantitative omics data
- Homepage:
- License:
GPL / GPL (>=2)
- Recipe:
- Links:
biotools: polystest, doi: 10.1074/mcp.RA119.001777
PolySTest is a web service (shiny app) and command-line tool for statistical testing, data browsing and interactive visualization of quantitative omics data. It contains multiple statistical tests and a new method to incorporate missing values.
- package polystest¶
-
- Versions:
1.3.4-0,1.3.2-0,1.2.2-0,1.2-0,1.1-2,1.01-1,1.1-1,1.01-0,1.1-0- Depends:
on bioconductor-limma
on bioconductor-qvalue
on r-base
on r-circlize
on r-dt
on r-fdrtool
on r-gplots
on r-heatmaply
on r-knitr
on r-matrixstats
on r-readxl
on r-shiny
on r-shinybs
on r-shinydashboard
on r-upsetr
on r-yaml
- 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 polystest
to add into an existing workspace instead, run:
pixi add polystest
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 polystest
Alternatively, to install into a new environment, run:
conda create -n envname polystest
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/polystest:<tag>
(see polystest/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¶
PolySTest is available as shiny app via run_polystest_app.R or as command-line tool: runPolySTestCLI.R
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/polystest/README.html)