- recipe r-msqrob
Robust statistical inference for quantitative LC-MS proteomics.
- Homepage:
- License:
GPL (>= 2)
- Recipe:
- package r-msqrob¶
- Versions:
0.7.7-4,0.7.7-3,0.7.7-2,0.7.7-1,0.7.7-0,0.7.6-3,0.7.6-2,0.7.6-1,0.7.6-0,0.7.7-4,0.7.7-3,0.7.7-2,0.7.7-1,0.7.7-0,0.7.6-3,0.7.6-2,0.7.6-1,0.7.6-0,0.7.5-1,0.7.5-0- Depends:
on bioconductor-affyio
on bioconductor-biobase
on bioconductor-biocgenerics
on bioconductor-biocinstaller
on bioconductor-biocparallel
on bioconductor-limma
on bioconductor-msnbase
on bioconductor-mzid
on bioconductor-mzr
on bioconductor-protgenerics
on r-base
>=4.4,<4.5.0a0on r-colorspace
on r-dichromat
on r-dt
on r-fdrtool
on r-ggplot2
on r-gtable
on r-htmlwidgets
on r-httpuv
on r-labeling
on r-lazyeval
on r-lme4
on r-magrittr
on r-maldiquant
on r-miniui
on r-minqa
on r-munsell
on r-nloptr
on r-numderiv
on r-openxlsx
on r-plyr
on r-rcolorbrewer
on r-rcpp
on r-reshape2
on r-scales
on r-shiny
on r-shinyjs
on r-shinythemes
on r-snow
on r-statmod
on r-stringi
on r-stringr
on r-svdialogs
on r-tibble
on r-xml
on r-xtable
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 r-msqrob
to add into an existing workspace instead, run:
pixi add r-msqrob
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 r-msqrob
Alternatively, to install into a new environment, run:
conda create -n envname r-msqrob
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/r-msqrob:<tag>
(see r-msqrob/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/r-msqrob/README.html)
