- recipe bioconductor-pmscanr
Protein motifs analysis and visualisation
- Homepage:
https://bioconductor.org/packages/3.22/bioc/html/PMScanR.html
- License:
GPL-3
- Recipe:
Provides tools for large-scale protein motif analysis and visualization in R. PMScanR facilitates the identification of motifs using external tools like PROSITE's ps_scan (handling necessary file downloads and execution) and enables downstream analysis of results. Key features include parsing scan outputs, converting formats (e.g., to GFF-like structures), generating motif occurrence matrices, and creating informative visualizations such as heatmaps, sequence logos (via seqLogo/ggseqlogo). The package also offers an optional Shiny-based graphical user interface for interactive analysis, aiming to streamline the process of exploring motif patterns across multiple protein sequences.
- package bioconductor-pmscanr¶
-
- Versions:
1.0.1-0- Depends:
on bioconductor-biocfilecache
>=3.0.0,<3.1.0on bioconductor-rtracklayer
>=1.70.0,<1.71.0on perl
>=5.32.1,<6.0a0 *_perl5on perl
>=5.6.0on r-base
>=4.5,<4.6.0a0on r-bslib
on r-dplyr
>=1.1.0on r-ggplot2
on r-ggseqlogo
on r-magrittr
on r-plotly
on r-reshape2
on r-rlang
on r-seqinr
on r-shiny
on r-shinyfiles
on r-stringr
- 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 bioconductor-pmscanr
to add into an existing workspace instead, run:
pixi add bioconductor-pmscanr
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 bioconductor-pmscanr
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-pmscanr
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/bioconductor-pmscanr:<tag>
(see bioconductor-pmscanr/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/bioconductor-pmscanr/README.html)