- recipe paralyzer
We developed the PARalyzer algorithm to generate a high resolution map of interaction sites between RNA-binding proteins and their targets. The algorithm utilizes the deep sequencing reads generated by PAR-CLIP (Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation) protocol.The use of photoactivatable nucleotides in the PAR-CLIP protocol results in more efficient crosslinking between the RNA-binding protein and its target relative to other CLIP methods; in addition a nucleotide substitution occurs at the site of crosslinking, providing for single-nucleotide resolution binding information. PARalyzer utilizes this nucleotide substition in a kernel density estimate classifier to generate the high resolution set of Protein-RNA interaction sites.
- Homepage:
- License:
PARalyzer is provided for academic use only, if you wish to use it in another setting please contact Uwe Ohler.
- Recipe:
- Links:
biotools: paralyzer
- package paralyzer¶
- Versions:
1.5-3,1.5-2,1.5-1,1.5-0- Depends:
on openjdk
- 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 paralyzer
to add into an existing workspace instead, run:
pixi add paralyzer
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 paralyzer
Alternatively, to install into a new environment, run:
conda create -n envname paralyzer
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/paralyzer:<tag>
(see paralyzer/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/paralyzer/README.html)
