- recipe r-pspecterlib
Proteomics R package for matching peaks in digested and intact proteomics
- Homepage:
- License:
BSD-2-Clause
- Recipe:
- package r-pspecterlib¶
- Versions:
1.1.0-0- Depends:
on bioconductor-msnbase
on bioconductor-mzr
on bioconductor-rawrr
on bioconductor-rhdf5
on r-base
>=4.3,<4.4.0a0on r-cairo
on r-chnosz
on r-data.table
on r-dplyr
on r-ggplot2
on r-gtools
on r-htmltools
on r-isopat
on r-knitr
on r-lsa
on r-magrittr
on r-plotly
on r-purrr
on r-rcolorbrewer
on r-readxl
on r-reshape2
on r-rmarkdown
on r-seqinr
on r-tidyr
- 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-pspecterlib
to add into an existing workspace instead, run:
pixi add r-pspecterlib
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-pspecterlib
Alternatively, to install into a new environment, run:
conda create -n envname r-pspecterlib
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-pspecterlib:<tag>
(see r-pspecterlib/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-pspecterlib/README.html)
